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Gotowa bibliografia na temat „CLOUD BASED APPLICATIONS”

Autor: Grafiati

Data publikacji: 11 września 2023

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Artykuły w czasopismach na temat "CLOUD BASED APPLICATIONS"

Wang, Yue, Choonhwa Lee, Shuyang Ren, Eunsam Kim i Sungwook Chung. "Enabling Role-Based Orchestration for Cloud Applications". Applied Sciences 11, nr 14 (20.07.2021): 6656. http://dx.doi.org/10.3390/app11146656.

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With the rapidly growing popularity of cloud services, the cloud computing faces critical challenges to orchestrate the deployment and operation of cloud applications on heterogenous cloud platforms. Cloud applications are built on a platform model that abstracts away underlying platform-specific details, so that their orchestration can benefit from the abstract view and flexibility of the underlying platform configuration. However, considerable efforts are still required to properly manage complicated cloud applications. This paper proposes a model-driven approach to cloud application orchestration which promotes the concerns of distinct roles for cloud system provisioning and operation. By establishing a set of capabilities as modeling constructs, our approach allows TOSCA-based application topology itself and its orchestration needs to be specified in a way to provide a more targeted support for different needs and concerns of application developers and operators. With novel orchestration features like application topology description, platform capability modeling, and role-awareness for cloud application orchestration, it can significantly reduce the complexity of application orchestration in diverse cloud environments. To show the feasibility and effectiveness of our proposal for cloud application orchestration, we present a proof-of-concept orchestration system implementation and evaluate its deployment and orchestration results in a Kubernetes cluster.

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Phani Sheetal, A., i K. Ravindranath. "Software metric evaluation on cloud based applications". International Journal of Engineering & Technology 7, nr 1.5 (31.12.2017): 13. http://dx.doi.org/10.14419/ijet.v7i1.5.9071.

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Unbound growth in the cloud computing service models have motivated the companies building traditional software to be migrated into the clouds. During the high demand of the traditional applications, the performance and quality of the software were evaluated by the popular and globally accepted metrics. Nevertheless, after the migration of the same applications into the cloud, the expectation and definition of performance and quality has been changed. The beneficiaries of these applications are setting new milestones for the applications. Hence, the recent demand of the research trend is to build new software metric models to match the trade of between the new expectations from the beneficiaries and the software quality policies for organization or individual or state. Thus this work makes an attempt to understand the traditional software quality metrics and try to justify the applicability of these parameters in the trend of cloud based software applications. This work also proposes a novel metric method for performance evaluation for the migrated applications into the cloud, with the intension of formalizing and standardizing the cloud based metric methods unlike the recent trends.

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LEYMANN, FRANK, CHRISTOPG FEHLING, RALPH MIETZNER, ALEXANDER NOWAK i SCHAHRAM DUSTDAR. "MOVING APPLICATIONS TO THE CLOUD: AN APPROACH BASED ON APPLICATION MODEL ENRICHMENT". International Journal of Cooperative Information Systems 20, nr 03 (wrzesień 2011): 307–56. http://dx.doi.org/10.1142/s0218843011002250.

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In this paper we describe a method and corresponding tool chain that allows moving an application to the cloud. In particular, we support to split an application such that various parts of it are moved to different clouds. This split can be done manually or by support of optimization algorithms. The split application is then automatically provisioned in the different target clouds. A metamodel for such applications supporting the proposed method is introduced. The architecture of a supporting tool is described. Experiences from the usage of the proposed method are reported.

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Li, Zhaojian, Tianshu Chu, Ilya V. Kolmanovsky, Xiang Yin i Xunyuan Yin. "Cloud resource allocation for cloud-based automotive applications". Mechatronics 50 (kwiecień 2018): 356–65. http://dx.doi.org/10.1016/j.mechatronics.2017.10.010.

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Abuzrieq, Yara, Amro Al-Said Ahmad i Maram Bani Younes. "An Experimental Performance Evaluation of Cloud-API-Based Applications". Future Internet 13, nr 12 (13.12.2021): 314. http://dx.doi.org/10.3390/fi13120314.

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Cloud Application Programming Interfaces (APIs) have been developed to link several cloud computing applications together. API-based applications are widely used to provide flexible and reliable services over cloud platforms. Recently, a huge number of services have been attached to cloud platforms and widely utilized during a very short period of time. This is due to the COVID-19 lockdowns, which forced several businesses to switch to online services instantly. Several cloud platforms have failed to support adequate services, especially for extended and real-time-based applications. Early testing of the available platforms guarantees a level of suitability and reliability for the uploaded services. In this work, we first selected two different API-based applications from education and professional taxonomies, the two most recently used applications that have switched to the cloud environment. Then, we aimed to evaluate the performance of different API-based applications under different cloud platforms, in order to measure and validate the ability of these platforms to support these services. The advantages and drawbacks of each platform were experimentally investigated for each application.

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Gonidis, Fotis, Iraklis Paraskakis i Anthony J. H. Simons. "Rapid Development of Service-based Cloud Applications". International Journal of Systems and Service-Oriented Engineering 5, nr 4 (październik 2015): 1–25. http://dx.doi.org/10.4018/ijssoe.2015100101.

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Cloud application platforms gain popularity and have the potential to alter the way service-based cloud applications are developed involving utilisation of platform basic services. A platform basic service provides certain functionality and is usually offered via a web API. However, the diversification of the services and the available providers increase the challenge for the application developers to integrate them and deal with the heterogeneous providers' web APIs. Therefore, a new approach of developing applications should be adopted in which developers leverage multiple platform basic services independently from the target application platforms. To this end, the authors present a development framework assisting the design of service-based cloud applications. The objective of the framework is to enable the consistent integration of the services, and to allow the seamless use of the concrete providers. The optimal service provider each time can vary depending on criteria such as pricing, quality of service and can be determined based upon Big Data analysis approaches.

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Jaybhaye, Sangita M., i Dr Vahida Z. Attar. "Resource Allocation and Optimization in Cloud for Workflow based Applications". Journal of Advanced Research in Dynamical and Control Systems 11, nr 11-SPECIAL ISSUE (20.11.2019): 1190–98. http://dx.doi.org/10.5373/jardcs/v11sp11/20193151.

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Hagos, Desta Haileselassie. "Software-Defined Networking for Scalable Cloud-based Services to Improve System Performance of Hadoop-based Big Data Applications". International Journal of Grid and High Performance Computing 8, nr 2 (kwiecień 2016): 1–22. http://dx.doi.org/10.4018/ijghpc.2016040101.

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The rapid growth of Cloud Computing has brought with it major new challenges in the automated manageability, dynamic network reconfiguration, provisioning, scalability and flexibility of virtual networks. OpenFlow-enabled Software-Defined Networking (SDN) alleviates these key challenges through the abstraction of lower level functionality that removes the complexities of the underlying hardware by separating the data and control planes. SDN has an efficient, dynamic, automated network management, higher availability and application provisioning through programmable interfaces which are very critical for flexible and scalable cloud-based services. In this study, the author explores broadly useful open technologies and methodologies for applying an OpenFlow-enabled SDN to scalable cloud-based services and a variety of diverse applications. The approach in this paper introduces new research challenges in the design and implementation of advanced techniques for bringing an SDN-enabled components and big data applications into a cloud environment in a dynamic setting. Some of these challenges become pressing concerns to cloud providers when managing virtual networks and data centers, while others complicate the development and deployment of cloud-hosted applications from the perspective of developers and end users. However, the growing demand for manageable, scalable and flexible clouds necessitates that effective solutions to these challenges be found. Hence, through real-world research validation use cases, this paper aims at exploring useful mechanisms for the role and potential of an OpenFlow-enabled SDN and its direct benefit for scalable cloud-based services. Finally, it demonstrates the impact of an OpenFlow-enabled SDN that fully embraces the opportunities and challenges of cloud infrastructures to improve the system performance of Hadoop-based big data applications by utilizing the network control capabilities of an OpenFlow to solve network congestion.

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Bi, Zhen Bo, i Hui Qin Wang. "BIM Application Research Based on Cloud Computing". Applied Mechanics and Materials 170-173 (maj 2012): 3565–69. http://dx.doi.org/10.4028/www.scientific.net/amm.170-173.3565.

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Applications based on CC (cloud computing) has the potential efficient and low-cost advantages, while there are the lack of computing power, the limited range of applications and the higher cost of BIM (Building Information Model) applications in the traditional desktop mode. According to BIM application features and the actual situation, the paper starts from the concept of CC and discusses the advantages of BIM applications using CC. The system framework, the key technologies and the implementation methods of the BIM application platform based on CC have been put forward on the basis of the above discussion.

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Xue-Jun Liu, Xue-Jun Liu, Wen-Hui Wang Xue-Jun Liu, Yong Yan Wen-Hui Wang, Zhong-Ji Cui Yong Yan, Yun Sha Zhong-Ji Cui i Yi-Nan Jiang Yun Sha. "A Point Cloud Classification Method and Its Applications Based on Multi-Head Self-Attention". 電腦學刊 34, nr 4 (sierpień 2023): 163–73. http://dx.doi.org/10.53106/199115992023083404014.

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<p>In the monitoring the safety status of hazardous chemical warehouses by three-dimensional re-construction of deep camera point clouds, there are classification difficulties such as large space, sparse distribution of point clouds in cargo images, and similar distribution in low dimensions. Based on the above problem, a point cloud recognition method based on multi-head attention mechanism is proposed. The algorithm first normalizes the distribution of the point cloud data set through the affine transformation algorithm to solve the problem of sparse distribution. Then, the high-dimensional feature map is obtained by fusing the data down-sampling and curve feature aggregation algorithms to solve the problem of low-dimensional distribution approximation. The feature map is then encoded using a multi-head self-attention encoder to obtain features under different heads, which are then merged into a feature map. Finally, a multi-layer fully connected neural network is used as the decoder to decode the feature map into the final object classification. Comparative experiments were performed on the ModelNet40 dataset and the self-built dataset of warehouse goods, and the results showed that the accuracy of this paper was improved by 0.5% to 7.8% compared with that of other classification algorithms.</p> <p> </p>

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Rozprawy doktorskie na temat "CLOUD BASED APPLICATIONS"

Schroeter, Julia. "Feature-based configuration management of reconfigurable cloud applications". Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2014. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-141415.

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A recent trend in software industry is to provide enterprise applications in the cloud that are accessible everywhere and on any device. As the market is highly competitive, customer orientation plays an important role. Companies therefore start providing applications as a service, which are directly configurable by customers in an online self-service portal. However, customer configurations are usually deployed in separated application instances. Thus, each instance is provisioned manually and must be maintained separately. Due to the induced redundancy in software and hardware components, resources are not optimally utilized. A multi-tenant aware application architecture eliminates redundancy, as a single application instance serves multiple customers renting the application. The combination of a configuration self-service portal with a multi-tenant aware application architecture allows serving customers just-in-time by automating the deployment process. Furthermore, self-service portals improve application scalability in terms of functionality, as customers can adapt application configurations on themselves according to their changing demands. However, the configurability of current multi-tenant aware applications is rather limited. Solutions implementing variability are mainly developed for a single business case and cannot be directly transferred to other application scenarios. The goal of this thesis is to provide a generic framework for handling application variability, automating configuration and reconfiguration processes essential for self-service portals, while exploiting the advantages of multi-tenancy. A promising solution to achieve this goal is the application of software product line methods. In software product line research, feature models are in wide use to express variability of software intense systems on an abstract level, as features are a common notion in software engineering and prominent in matching customer requirements against product functionality. This thesis introduces a framework for feature-based configuration management of reconfigurable cloud applications. The contribution is three-fold. First, a development strategy for flexible multi-tenant aware applications is proposed, capable of integrating customer configurations at application runtime. Second, a generic method for defining concern-specific configuration perspectives is contributed. Perspectives can be tailored for certain application scopes and facilitate the handling of numerous configuration options. Third, a novel method is proposed to model and automate structured configuration processes that adapt to varying stakeholders and reduce configuration redundancies. Therefore, configuration processes are modeled as workflows and adapted by applying rewrite rules triggered by stakeholder events. The applicability of the proposed concepts is evaluated in different case studies in the industrial and academic context. Summarizing, the introduced framework for feature-based configuration management is a foundation for automating configuration and reconfiguration processes of multi-tenant aware cloud applications, while enabling application scalability in terms of functionality.

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Yangui, Sami. "Service-based applications provisioning in the cloud". Thesis, Evry, Institut national des télécommunications, 2014. http://www.theses.fr/2014TELE0024/document.

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Le Cloud Computing ou "informatique en nuage" est un nouveau paradigme émergeant pour l’exploitation des services informatiques distribuées à large échelle s’exécutant à des emplacements géographiques répartis. Ce paradigme est de plus en plus utilisé pour le déploiement et l’exécution des applications en général et des applications à base de services en particulier. Les applications à base de services sont décrites à l’aide du standard Service Component Architecture (SOA) et consistent à inter-lier un ensemble de services élémentaires et hétérogènes en utilisant des spécifications de composition de services appropriées telles que Service Component Architecture (SCA) ou encore Business Process Execution Language (BPEL). Provisionner une application dans le Cloud consiste à : (1) allouer les ressources dont elle a besoin pour s’exécuter, (2) déployer ses sources sur les ressources allouées et (3) démarrer l’application. Cependant, les solutions Cloud existantes sont limitées en termes de plateformes d’exécution. Ils ne peuvent pas toujours satisfaire la forte hétérogénéité des composants des applications à base de services. Pour remédier à ces problèmes, les mécanismes de provisioning des applications dans le Cloud doivent être reconsidérés. Ces mécanismes doivent être assez flexibles pour supporter la forte hétérogénéité des composants sans imposer de modifications et/ou d’adaptations du côté du fournisseur Cloud. Elles doivent également permettre le déploiement automatique des composants dans le Cloud. Si l’application à déployer est mono-composant, le déploiement est fait automatiquement et de la même manière, et ce quelque soit le fournisseur Cloud choisi. Si l’application est à base de services hétérogènes, des fonctionnalités appropriées doivent être mises à la disposition des développeurs pour qu’ils puissent définir et créer les ressources nécessaires aux composants avant de déployer l’application. Dans ce travail, nous proposons une approche appelée SPD permettant le provisioning des applications à base de services dans le Cloud. L’approche SPD est constituée de 3 étapes : (1) découper des applications à base de services en un ensemble de services élémentaires et autonomes, (2) encapsuler les services dans des micro-conteneurs spécifiques et (3) déployer les micro-conteneurs dans le Cloud. Pour le découpage, nous avons élaboré un ensemble d’algorithmes formels assurant la préservation de la sémantique des applications une fois découpées. Pour l’encapsulation, nous avons réalisé des prototypes de conteneurs de services permettant l’hébergement et l’exécution des services avec seulement le minimum des fonctionnalités nécessaires. Pour le déploiement, deux cas sont traités i.e. déploiement sur une infrastructure Cloud (IaaS) et déploiement sur une plateforme Cloud (PaaS). Pour automatiser le processus de déploiement, nous avons défini : (i) un modèle de description des ressources unifié basé sur le standard Open Cloud Computing Interface (OCCI) permettant de décrire l’application et ses ressources d’une manière générique quelque soit la plateforme de déploiement cible et (ii) une API appelée COAPS implémentant ce modèle et permettant de l’approvisionnement et la gestion des applications en utilisant des opérations génériques quelque soit la plateforme cible
Cloud Computing is a new supplement, consumption, and delivery model for IT services based on Internet protocols. It is increasingly used for hosting and executing applications in general and service-based applications in particular. Service-based applications are described according to Service Oriented Architecture (SOA) and consist of assembling a set of elementary and heterogeneous services using appropriate service composition specifications like Service Component Architecture (SCA) or Business Process Execution Language (BPEL). Provision an application in the Cloud consists of allocates its required resources from a Cloud provider, upload source codes over their resources before starting the application. However, existing Cloud solutions are limited to static programming frameworks and runtimes. They cannot always meet with the application requirements especially when their components are heterogeneous as service-based applications. To address these issues, application provisioning mechanisms in the Cloud must be reconsidered. The deployment mechanisms must be flexible enough to support the strong application components heterogeneity and requires no modification and/or adaptation on the Cloud provider side. They also should support automatic provisioning procedures. If the application to deploy is mono-block (e.g. one-tier applications), the provisioning is performed automatically and in a unified way whatever is the target Cloud provider through generic operations. If the application is service-based, appropriate features must be provided to developers in order to create themselves dynamically the required resources before the deployment in the target provider using generic operations. In this work, we propose an approach (called SPD) to provision service-based applications in the Cloud. The SPD approach consists of 3 steps: (1) Slicing the service-based application into a set of elementary and autonomous services, (2) Packaging the services in micro-containers and (3) Deploying the micro-containers in the Cloud. Slicing the applications is carried out by formal algorithms that we have defined. For the slicing, proofs of preservation of application semantics are established. For the packaging, we performed prototype of service containers which provide the minimal functionalities to manage hosted services life cycle. For the deployment, both cases are treated i.e. deployment in Cloud infrastructure (IaaS) and deployment in Cloud platforms (PaaS). To automate the deployment, we defined: (i) a unified description model based on the Open Cloud Computing Interface (OCCI) standard that allows the representation of applications and its required resources independently of the targeted PaaS and (ii) a generic PaaS application provisioning and management API (called COAPS API) that implements this model

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Shen, Weier. "POINT CLOUD BASED OBJECT DETECTION AND APPLICATIONS". Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1558726015256402.

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Englund, Carl. "Evaluation of cloud-based infrastructures for scalable applications". Thesis, Linköpings universitet, Medie- och Informationsteknik, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-139935.

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The usage of cloud computing in order to move away from local servers and infrastructure have grown enormously the last decade. The ability to quickly scale capacity of servers and their resources at once when needed is something that can both be a price saver for companies and help them deliver high end products that will function correctly at all times even under heavy load to their customers. To meet todays challenges, one of the strategic directions of Attentec, a software company located in Linköping, is to examine the world of cloud computing in order to deliver robust and scalable applications to their customers. This thesis investigates the usage of cloud services in order to deploy scalable applications which can adapt to usage peaks within minutes.

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Bhowmick, Satyajit. "A Fog-based Cloud Paradigm for Time-Sensitive Applications". University of Cincinnati / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1467988828.

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Pan, Xiaozhong. "Rich Cloud-based Web Applications with Cloudbrowser 2.0". Thesis, Virginia Tech, 2015. http://hdl.handle.net/10919/52988.

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When developing web applications using traditional methods, developers need to partition the application logic between client side and server side, then implement these two parts separately (often using two different programming languages) and write the communication code to synchronize the application's state between the two parts. CloudBrowser is a server- centric web framework that eliminates this need for partitioning applications entirely. In CloudBrowser, the application code is executed in server side virtual browsers which preserve the application's presentation state. The client web browsers act like rendering devices, fetching and rendering the presentation state from the virtual browsers. The client-server communication and user interface rendering is implemented by the framework under the hood. CloudBrowser applications are developed in a way similar to regular web pages, using no more than HTML, CSS and JavaScript. Since the user interface state is preserved, the framework also provides a continuous experience for users who can disconnect from the application at any time and reconnect to pick up at where they left off. The original implementation of CloudBrowser was single-threaded and supported deployment on only one process. We implemented CloudBrowser 2.0, a multi-process implementation of CloudBrowser. CloudBrowser 2.0 can be deployed on a cluster of servers as well as a single multi-core server. It distributes the virtual browsers to multiple processes and dispatches client requests to the associated virtual browsers. CloudBrowser 2.0 also refines the CloudBrowser application deployment model to make the framework a PaaS platform. The developers can develop and deploy different types of applications and the platform will automatically scale them to multiple servers.
Master of Science

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Jung, Gueyoung. "Multi-dimensional optimization for cloud based multi-tier applications". Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37267.

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Emerging trends toward cloud computing and virtualization have been opening new avenues to meet enormous demands of space, resource utilization, and energy efficiency in modern data centers. By being allowed to host many multi-tier applications in consolidated environments, cloud infrastructure providers enable resources to be shared among these applications at a very fine granularity. Meanwhile, resource virtualization has recently gained considerable attention in the design of computer systems and become a key ingredient for cloud computing. It provides significant improvement of aggregated power efficiency and high resource utilization by enabling resource consolidation. It also allows infrastructure providers to manage their resources in an agile way under highly dynamic conditions. However, these trends also raise significant challenges to researchers and practitioners to successfully achieve agile resource management in consolidated environments. First, they must deal with very different responsiveness of different applications, while handling dynamic changes in resource demands as applications' workloads change over time. Second, when provisioning resources, they must consider management costs such as power consumption and adaptation overheads (i.e., overheads incurred by dynamically reconfiguring resources). Dynamic provisioning of virtual resources entails the inherent performance-power tradeoff. Moreover, indiscriminate adaptations can result in significant overheads on power consumption and end-to-end performance. Hence, to achieve agile resource management, it is important to thoroughly investigate various performance characteristics of deployed applications, precisely integrate costs caused by adaptations, and then balance benefits and costs. Fundamentally, the research question is how to dynamically provision available resources for all deployed applications to maximize overall utility under time-varying workloads, while considering such management costs. Given the scope of the problem space, this dissertation aims to develop an optimization system that not only meets performance requirements of deployed applications, but also addresses tradeoffs between performance, power consumption, and adaptation overheads. To this end, this dissertation makes two distinct contributions. First, I show that adaptations applied to cloud infrastructures can cause significant overheads on not only end-to-end response time, but also server power consumption. Moreover, I show that such costs can vary in intensity and time scale against workload, adaptation types, and performance characteristics of hosted applications. Second, I address multi-dimensional optimization between server power consumption, performance benefit, and transient costs incurred by various adaptations. Additionally, I incorporate the overhead of the optimization procedure itself into the problem formulation. Typically, system optimization approaches entail intensive computations and potentially have a long delay to deal with a huge search space in cloud computing infrastructures. Therefore, this type of cost cannot be ignored when adaptation plans are designed. In this multi-dimensional optimization work, scalable optimization algorithm and hierarchical adaptation architecture are developed to handle many applications, hosting servers, and various adaptations to support various time-scale adaptation decisions.

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Bandini, Alessandro. "Programming and Deployment of Cloud-based Data Analysis Applications". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13803/.

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Cloud Computing constitutes a model capable of enabling the network access in a shared, practical and on demand of different computational resources like networks, memory, application or services. This work has as goal the explanation of the project made within Cloud Computing. After an introduction of the theory that lies behind Cloud computing's technologies, there is the practical part of the the work, starting from a more specific platform, Hadoop, which allows storage and data analysis and then moving to more general purpose platforms, Amazon Web Services and Google App Engine, where different types of services have been tried. The major part of the project is based on Google App Engine, where storage and computational services have been used to run MapReduce jobs. MapReduce is a different programming approach for solving data analysis problems, that is suited for big data. The first jobs are written in python, an imperative programming language. Later on, a functional approach on the same problems has been tried, with the Scala language and Spark platform, to compare the code. As Cloud computing is mainly used to host websites, a simple site was developed as integral part of the work. The development of the site is not explained as it goes beyond this thesis' main focus, only the relevant aspects will be treated.

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Luo, Xi. "Feature-based Configuration Management of Applications in the Cloud". Master's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2013. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-116674.

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The complex business applications are increasingly offered as services over the Internet, so-called software-as-a-Service (SaaS) applications. The SAP Netweaver Cloud offers an OSGI-based open platform, which enables multi-tenant SaaS applications to run in the cloud. A multi-tenant SaaS application is designed so that an application instance is used by several customers and their users. As different customers have different requirements for functionality and quality of the application, the application instance must be configurable. Therefore, it must be able to add new configurations into a multi-tenant SaaS application at run-time. In this thesis, we proposed concepts of a configuration management, which are used for managing and creating client configurations of cloud applications. The concepts are implemented in a tool that is based on Eclipse and extended feature models. In addition, we evaluate our concepts and the applicability of the developed solution in the SAP Netwaver Cloud by using a cloud application as a concrete case example.

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CONDORI, EDWARD JOSE PACHECO. "DEPLOYMENT OF DISTRIBUTED COMPONENT-BASED APPLICATIONS ON CLOUD INFRASTRUCTURES". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2012. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=23645@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO
COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
PROGRAMA DE EXCELENCIA ACADEMICA
A implantação de aplicações baseadas em componentes distribuídos é composta por um conjunto de atividades geridas por uma Infraestrutura de Implantação. Aplicações atuais estão se tornando cada vez mais complexas, necessitando de um ambiente alvo dinâmico e multi-plataforma. Assim, a atividade de planejamento de uma implantação é o passo mais crítico, pois define a configuração da infraestrutura de execução de forma a atender os requisitos do ambiente alvo de uma aplicação. Por outro lado, o modelo de serviço na nuvem chamado Infraestrutura como Serviço(IaaS) oferece recursos computacionais sob demanda, com características dinâmicas, escaláveis e elásticas. Nesta dissertação nós estendemos a Infraestrutura de Implantação para componentes SCS de forma a permitir o uso de nuvens privadas ou públicas como o ambiente alvo de uma implantação, através do uso de uma cloud API e políticas flexíveis para especificar um ambiente alvo personalizado. Além disso, hospedamos a infraestrutura de implantação na nuvem. Isto permitiu-nos usar recursos computacionais sob demanda para instanciar os serviços da Infraestrutura de Implantação, produzindo uma Plataforma como Serviço(PaaS) experimental.
Deployment of distributed component-based applications is composed of a set of activities managed by a Deployment Infrastructure. Current applications are becoming increasingly more complex, requiring a multi-platform and a dynamic target environment. Thus, the planning activity is the most critical step because it defines the configuration of the execution infrastructure in order to satisfy the requirements of the application’s target environment. On the other hand, the cloud service model called Infrastructure as a Service (IaaS) offers on-demand computational resources with dynamic, scalable, and elastic features. In this work we have extended the Deployment Infrastructure for SCS componentes to support private or public clouds as its target environment, through the use of a cloud API and flexible policies to specify a customized target environment. Additionally, we host the Deployment Infrastructure on the cloud, which allow us to use on-demand computational resources to instantiate Deployment Infrastructure services, creating an experimental Platform as a Service (PaaS).

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Książki na temat "CLOUD BASED APPLICATIONS"

Bauer, Eric, i Randee Adams, red. Service Quality of Cloud-Based Applications. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118763407.

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Library and Information Technology Association (U.S.), red. Cloud-Based Services for Your Library. Chicago: ALA TECHSOURCE, An imprint of the American Library Association, 2013.

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Deka, Ganesh Chandra, i Sambit Bakshi. Handbook of research on securing cloud-based databases with biometric applications. Hershey, PA: Information, Science, Reference, 2015.

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Cloud computing: Web-based applications that change the way you work and collaborate online. Indianapolis, IN: Que Pub., 2008.

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Cloud-based solutions for healthcare IT. Enfield, NH: Science Publishers, 2011.

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Cappellini, Vito, red. Electronic Imaging & the Visual Arts. EVA 2017 Florence. Florence: Firenze University Press, 2017. http://dx.doi.org/10.36253/978-88-6453-502-9.

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The Publication is following the yearly Editions of EVA FLORENCE. The State of Art is presented regarding the Application of Technologies (in particular of digital type) to Cultural Heritage. The more recent results of the Researches in the considered Area are presented. Information Technologies of interest for Culture Heritage are presented: multimedia systems, data-bases, data protection, access to digital content, Virtual Galleries. Particular reference is reserved to digital images (Electronic Imaging & the Visual Arts), regarding Cultural Institutions (Museums, Libraries, Palace - Monuments, Archaeological Sites). The International Conference includes the following Sessions: Strategic Issues; New Sciences and Culture Developments and Applications; New Technical Developments & Applications; Museums - Virtual Galleries and Related Initiatives; Art and Humanities Ecosystem & Applications; Access to the Culture Information. Two Workshops regard: Innovation and Enterprise; the Cloud Systems connected to the Culture (eCulture Cloud) in the Smart Cities context. The more recent results of the Researches at national and international are reported in the Area of Technologies and Culture Heritage, also with experimental demonstrations of developed Activities.

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Cappellini, Vito, red. Electronic Imaging & the Visual Arts. EVA 2018 Florence. Florence: Firenze University Press, 2018. http://dx.doi.org/10.36253/978-88-6453-707-8.

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Inc, ebrary, red. Microsoft SQL Azure: Enterprise application development ; build enterprise-ready applications and projects with SQL Azure. Birmingham, U.K: Packt, 2010.

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Chen, Zhi Xian. IBM Workload Deployer: Pattern-based application and middleware deployments in a private cloud. [Poughkeepsie, N.Y.?]: IBM, International Technical Support Organization, 2012.

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Li, Weidong. Cloud Manufacturing: Distributed Computing Technologies for Global and Sustainable Manufacturing. London: Springer London, 2013.

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Części książek na temat "CLOUD BASED APPLICATIONS"

Zhang, Lin, Fei Wang i Feng Li. "Cloud-Based Simulation". W Simulation Foundations, Methods and Applications, 97–115. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-17164-3_6.

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Pauly, Michael. "T-Systems' Cloud-Based Solutions for Business Applications". W Cloud Computing, 299–319. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9780470940105.ch11.

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Gessert, Felix, Wolfram Wingerath i Norbert Ritter. "Latency in Cloud-Based Applications". W Fast and Scalable Cloud Data Management, 13–31. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43506-6_2.

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Ahmad, Masood, Rajeev Kumar, Alka Agrawal i Raees Ahmad Khan. "Biomedical Applications Cloud-Based IoT". W Biomedical Translational Research, 141–53. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4345-3_10.

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Tran, Hong Thai, i George Feuerlicht. "Improving Reliability of Cloud-Based Applications". W Service-Oriented and Cloud Computing, 235–47. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44482-6_15.

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Andrikopoulos, Vasilios. "Engineering Cloud-Based Applications: Towards an Application Lifecycle". W Communications in Computer and Information Science, 57–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-79090-9_4.

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Dangi, Dharmendra, Dheeraj Dixit i Amit Bhagat. "Cloud Based Security Analysis in Body Area Network for Health Care Applications". W Cloud Security, 203–22. First edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9780367821555-15.

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Pokahr, Alexander, i Lars Braubach. "Towards Elastic Component-Based Cloud Applications". W Intelligent Distributed Computing VIII, 161–71. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-10422-5_18.

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Chana, Inderveer, i Priyanka Chawla. "Testing Perspectives for Cloud-Based Applications". W Computer Communications and Networks, 145–64. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5031-2_7.

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Shaheen, Bushra, i Farheen Siddiqui. "Security Algorithms for Cloud Based Applications". W Sustainable Communication Networks and Application, 582–88. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34515-0_60.

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Streszczenia konferencji na temat "CLOUD BASED APPLICATIONS"

Song, Jie, Feng Han, Zhenxing Yan, Guoqi Liu i Zhiliang Zhu. "A SaaSify Tool for Converting Traditional Web-Based Applications to SaaS Application". W 2011 IEEE 4th International Conference on Cloud Computing (CLOUD). IEEE, 2011. http://dx.doi.org/10.1109/cloud.2011.34.

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Stojmenovic, Milos. "Mobile Cloud Computing for Biometric Applications". W 2012 15th International Conference on Network-Based Information Systems (NBiS). IEEE, 2012. http://dx.doi.org/10.1109/nbis.2012.147.

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Fehling, Christoph, Frank Leymann, David Schumm, Ralf Konrad, Ralph Mietzner i Michael Pauly. "Flexible Process-Based Applications in Hybrid Clouds". W 2011 IEEE 4th International Conference on Cloud Computing (CLOUD). IEEE, 2011. http://dx.doi.org/10.1109/cloud.2011.37.

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Han, Dan, i Eleni Stroulia. "Federating Web-Based Applications on a Hierarchical Cloud". W 2014 IEEE 7th International Conference on Cloud Computing (CLOUD). IEEE, 2014. http://dx.doi.org/10.1109/cloud.2014.136.

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Novak, Joe, Sneha Kumar Kasera i Ryan Stutsman. "Auto-Scaling Cloud-Based Memory-Intensive Applications". W 2020 IEEE 13th International Conference on Cloud Computing (CLOUD). IEEE, 2020. http://dx.doi.org/10.1109/cloud49709.2020.00042.

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Litoiu, Marin. "Smart applications on cloud infrastructure". W 2012 IEEE 6th International Workshop on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems (MESOCA). IEEE, 2012. http://dx.doi.org/10.1109/mesoca.2012.6392596.

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Baker, Mark, i Marcel Kunze. "Cloud-based services and applications". W 2009 5th IEEE International Conference On E-Science Workshops. IEEE, 2009. http://dx.doi.org/10.1109/esciw.2009.5407995.

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Jim Zhanwen Li, Qinghua Lu, Liming Zhu, Len Bass, Xiwei Xu, Sherif Sakr, Paul L. Bannerman i Anna Liu. "Improving Availability of Cloud-Based Applications through Deployment Choices". W 2013 IEEE 6th International Conference on Cloud Computing (CLOUD). IEEE, 2013. http://dx.doi.org/10.1109/cloud.2013.83.

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Liu, Jing, Jiantao Zhou i Rajkumar Buyya. "Software Rejuvenation Based Fault Tolerance Scheme for Cloud Applications". W 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.164.

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Benfenatki, Hind, Catarina Ferreira Da Silva, Aicha Nabila Benharkat, Parisa Ghodous i Frederique Biennier. "Methodology for Semi-automatic Development of Cloud-Based Business Applications". W 2014 IEEE 7th International Conference on Cloud Computing (CLOUD). IEEE, 2014. http://dx.doi.org/10.1109/cloud.2014.139.

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Raporty organizacyjne na temat "CLOUD BASED APPLICATIONS"

Dawkins, Shanee T., i Sharon J. Laskowski. Cloud-based Accessibility for Voting Applications. National Institute of Standards and Technology, grudzień 2015. http://dx.doi.org/10.6028/nist.ir.8047.

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Shyshkina, Mariya, Uliana Kohut i Maiia Popel. The Comparative Analysis of the Cloud-based Learning Components Delivering Access to Mathematical Software. [б. в.], czerwiec 2019. http://dx.doi.org/10.31812/123456789/3171.

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In the article, the problems of the systems of computer mathematics use as a tool for the students learning and research activities support are investigated. The promising ways of providing access to the mathematical software in the university learning and research environment are considered. The special aspects of pedagogical applications of these systems to support mathematics and computer science disciplines study in a pedagogical university are considered. The design and evaluation of the cloud-based learning components with the use of the systems of computer mathematics (on the example of the Maxima system and CoCalc) as enchasing the investigative approach to and increasing pedagogical outcomes is justified. The set of psychological and pedagogical and also technological criteria of evaluation is used to compare different approaches to the environment design. The results of pedagogical experiment are provided. The analysis and evaluation of existing experience of mathematical software use both in SaaS and IaaS cloud-based settings is proposed.

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Kholoshyn, Ihor V., Olga V. Bondarenko, Olena V. Hanchuk i Ekaterina O. Shmeltser. Cloud ArcGIS Online as an innovative tool for developing geoinformation competence with future geography teachers. [б. в.], wrzesień 2019. http://dx.doi.org/10.31812/123456789/3263.

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The article dwells upon the scientifically relevant problem of using cloud-based GIS-technologies when training future geography teachers (based on ArcGIS Online application). The authors outline the basic principles for implementing ArcGIS Online in the educational process (interdisciplinary integration, the sequence of individualization in training, communicability, distance education and regional studies), and provide an example of an interactive map created with the help of the specified cloud GIS, since this kind of map is the most popular a form of research by geography students. In the article it is noted that integration of ArcGIS Online into the educational process allows the teacher to follow a clear pedagogical strategy, taking into account possible variants of its use (demonstration, direct mastering of GIS in a computer class and independent work in an individual mode). Considering cloud GIS as a new stage in the development of geoinformational education, the authors emphasize their key benefits (round-the-clock access, work with GIS package in the cloud, the ability to use other maps as well as the creation of their own maps and web-applications) and disadvantages (monetization of services, underestimation of the GIS role in the curriculum of the higher school, the lack of Ukrainian content, etc.).

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Shyshkina, Mariya, Uliana Kohut i Maiia Popel. The Design and Evaluation of the Cloud-based Learning Components with the Use of the Systems of Computer Mathematics. Sun SITE Central Europe, maj 2018. http://dx.doi.org/10.31812/0564/2253.

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In the article the problems of the systems of computer mathematics use as a tool for the students learning and research activities support are investigated. The promising ways of providing access to the mathematical software in the university learning and research environment are considered. The special aspects of pedagogical applications of these systems to support operations research study in the process of bachelors of informatics training are defined. The design and evaluation of the cloud-based learning components with the use of the systems of computer mathematics (on the example of Maxima system) as enchasing the investigative approach to learning of engineering and mathematics disciplines and increasing the pedagogical outcomes is justified. The set of psychological and pedagogical and also technological criteria of evaluation is substantiated. The results of pedagogical experiment are provided. The analysis and evaluation of existing experience of mathematical software use both in local and cloud-based settings is proposed.

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Shyshkina, Mariya P. The use of the cloud services to support the math teachers training. [б. в.], lipiec 2020. http://dx.doi.org/10.31812/123456789/3897.

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The development of the information society and technological progress are significantly influenced by the learning tools. Therefore, to the variety of tools that could be used to support the study of any discipline new ones emerging lately are continuously being added. Along with the great deal of systems of computer mathematics (SCM), web-oriented versions of SCM mathematical applications and other math learning tools the cloud-based versions of mathematical software such as MapleNet, MATLAB web-server, WebMathematica and others are now being used. These tools accomplishment becomes the essential part of training mathematics teachers. Domestic and foreign experiences of using cloud services for forming professional competences of mathematics teachers are analyzed. The place of the CoCalc within the system of mathematical disciplines learning tools is investigated. The task of improving the math teachers’ ICT competence by means of cloud services use in the process of training is considered. Among the new forms of learning rising along with the cloud services dissemination are such as collaborative learning, inquiry-based learning, person-oriented learning. At the same time, the use of the appropriate cloud service in the study of some mathematical discipline improves the assimilation of the learning material and improves the knowledge acquisition process on most topics. The analysis of current research of Ukrainian scientists on the problem in question shows that the progress is underway as for further elaboration and implementation of new learning methods and techniques of using cloud services in the higher education institutions.

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Varina, Hanna B., Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko i Svitlana H. Lytvynova. Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development. [б. в.], czerwiec 2021. http://dx.doi.org/10.31812/123456789/4453.

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Technologies based on cloud computing is one of the demanded and actively developing areas of the modern information world. Cloud computing refers to an innovative technology that allows you to combine IT resources of various hardware platforms into a single whole and provide the user with access to them via a local network or the global Internet. Cloud services from various providers offer users access to their resources via the Internet via free or shareware cloud applications, the hardware and software requirements of which do not imply that the user has high-performance and resource-consuming computers. Cloud technologies represent a new way of organizing the educational process and offers an alternative to traditional methods of organizing the educational process, creates an opportunity for personal learning, collective teaching, interactive classes, and the organization of psychological support. The scientific article is devoted to the problem of integrating cloud technologies not only in the process of training highly qualified specialists, but also in the formation of professionally important personality traits. The article describes the experience of introducing cloud technologies into the process of forming the adaptive potential of students in conditions of social constraints caused by the COVID-19 pandemic.

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Chen, Maggie, i Christian Volpe Martincus. Digital Technologies and Globalization: A Survey of Research and Policy Applications. Inter-American Development Bank, marzec 2022. http://dx.doi.org/10.18235/0004117.

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In recent years, the world has witnessed the rise of multiple specific digital technologies, including online trade platforms, robotics, artificial intelligence (AI), 3D printing, cloud computing, blockchain, and financial technology (fintech). These digital technologies are fundamentally transforming the ways that firms and individualsas both workers and consumerscommunicate, search, trade, and invest. They are also substantially changing how governments design and implement trade and investment policies and programs and, in so doing, how they interact with firms, individuals, and each other. This paper reviews the growing empirical literature on the trade, investment, and broader development effects of the adoption of specific digital technologies. It also describes the policy applications of these technologies and discusses the incipient empirical literature on the impacts thereof. Based on this review, it identifies several open questions and avenues of future research that may be useful for deepening our understanding of digital technologies and their policy implications.

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Shyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], sierpień 2018. http://dx.doi.org/10.31812/0564/2449.

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The article is devoted to creating and development of the cloud based educational and scientific environment of higher education institutions, using modern approaches to the ICT infrastructure design, based on the different types of service models, including public, corporate or hybrid clouds. Object of the study: to conduct the theoretical analysis of the research trends of the cloud based higher education institution ICT infrastructure modeling in the context of the tendencies of the ICT development and standardization. Object of the study: the process of formation and development of the educational and research environment in the higher education institution. The purpose of the article: to reveal the current trends of the cloud-based service models of the learning environment design and implementation. The methods of the study: The analysis of scientific and educational literature on pro-research problems; domestic and foreign experience on the emerging ICT implementation in the learning process. Results: The main types of the service models of design and deploy the cloud-based infrastructure of the educational institution are revealed; the advantages and disadvantages of the cloud-based approach are considered; the promising ways of implementation are considered. Conclusions: there are promising ways of the learning environment cloud-based service models design and application, taking into consideration its preferences and disadvantages for the certain case study.

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Iatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko i Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], wrzesień 2019. http://dx.doi.org/10.31812/123456789/3248.

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Currently, it is important in Ukraine to harmonize cloud technologies application with European and world scientific initiatives. Need to modernize preparation of future PhDs is caused by challenges of new information, globalized society and digital transformation of all spheres of life, including education and science. The research was aimed to determine features of cloud services application in preparation of future PhDs. Concepts of “cloud computing”, “cloud technologies”, “cloud learning technologies”, “cloud services”, “cloud oriented environment” were analyzed. Experience of cloud technologies and their services application in educational and scientific space in researches of foreign and Ukrainian students was considered. Ukrainian experience in preparation of future PhD of various specialties with cloud services application was analyzed. It was emphasized that approaches improving to preparation of future PhDs based on cloud services application would increase their level of digital competence. It is recommended to include a separate course or module of specific discipline on work with cloud technologies and services during preparation of future PhDs. It is important to improve disciplines and tools content to support education process. It can be learning of disciplines using cloud technologies or services by future PhD’s. Also, cloud services application to support scientific and scientific-organizational activities will increase level of organization and implementation of scientific research. It is important to create cloud-oriented environment for preparation of future PhDs in higher education and research institutions. Making cloud-oriented educational and scientific environment should be based on principles of open education. It is recommended to use cloud-based platforms and services (G Suite for Education; Microsoft Office 365; specialized SaaS (CoCalc or other)).

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Semerikov, Serhiy, Viacheslav Osadchyi i Olena Kuzminska. Proceedings of the 1st Symposium on Advances in Educational Technology - Volume 2: AET. SciTePress, 2022. http://dx.doi.org/10.31812/123456789/7011.

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Symposium on Advances in Educational Technology (AET) is a peer-reviewed international conference focusing on research advances and applications of combined use of computer hardware, software, and educational theory and practice to facilitate learning. Today, AET is the premier interdisciplinary forum for learning scientists, academicians, researchers, professionals, policymakers, postgraduate students, and practitioners to present their latest research results, ideas, developments, and applications. AET topics of interest are: • Artificial intelligence in education • Augmented reality in education • Cloud-based learning environments • Cloud technologies for mathematics learning • Cloud technologies for informatics learning • Computer simulation in science and mathematics learning • ICT in primary and secondary education • ICT in higher education • Learning environments • Learning technology • Professional training in the digital space • Massive open online courses • Methodology of informatization in education • Modelling systems in education • Psychological safety in the digital educational environment • Soft skills development • STEM education • Virtualization of learning This volume represents the proceedings of the Symposium on Advances in Educational Technology, held in Kyiv, Ukraine, on November 12-13, 2020. It comprises 110 contributed papers that were carefully peer-reviewed and selected from 282 submissions. Each submission was reviewed by at least 3, and on the average 3.1, program committee members. The accepted papers present a state-of-the-art overview of successful cases and provide guidelines for future research. We are thankful to all the authors who submitted papers and the delegates for their participation and their interest in AET as a platform to share their ideas and innovation. Also, we are also thankful to all the program committee members for providing continuous guidance and efforts taken by peer reviewers contributed to improve the quality of papers provided constructive critical comments, improvements and corrections to the authors are gratefully appreciated for their contribution to the success of the workshop. Moreover, we would like to thank the developers of HotCRP, who made it possible for us to use the resources of this excellent and comprehensive conference management system, from the call of papers and inviting reviewers, to handling paper submissions, communicating with the authors, and creating the volume of the workshop proceedings.

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