Literatura académica sobre el tema "Cloud computing platform"
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Artículos de revistas sobre el tema "Cloud computing platform"
Zhange, Zhi, Liwei Wang, Ruiying Liu y Jinghang Fan. "Development of Cloud Computing Platform Based on Neural Network". Mathematical Problems in Engineering 2022 (7 de marzo de 2022): 1–9. http://dx.doi.org/10.1155/2022/1513081.
Texto completoZhiyuan, Fang y Wei Li. "Cloud Service Platform". International Journal of Information Systems in the Service Sector 5, n.º 3 (julio de 2013): 54–62. http://dx.doi.org/10.4018/jisss.2013070104.
Texto completoM, Govindaraj. "Computing Waste Management Using Cloud Platform and Sensors". International Journal of Psychosocial Rehabilitation 24, n.º 5 (25 de mayo de 2020): 6987–91. http://dx.doi.org/10.37200/ijpr/v24i5/pr2020700.
Texto completoChauhan, Akash. "A Comparative Study of Cloud Computing Platforms". Turkish Journal of Computer and Mathematics Education (TURCOMAT) 11, n.º 1 (30 de abril de 2020): 821–26. http://dx.doi.org/10.17762/turcomat.v11i1.13563.
Texto completoHe, Dan Dan, Fang Qin y Can Wang. "Application of Cloud Counting in Product Platform Design Services Research". Applied Mechanics and Materials 513-517 (febrero de 2014): 1765–68. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.1765.
Texto completoLiu, Ji. "Optimization and Management in Order to Drive Targeted Networking Memory Database". Applied Mechanics and Materials 727-728 (enero de 2015): 965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.727-728.965.
Texto completoCheng, Peng y Hui Qu. "Design and Realization Based on Cloud Stack Hybrid Cloud Computing Platform". Advanced Materials Research 989-994 (julio de 2014): 2297–300. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.2297.
Texto completoQaisar, Faizan, Hammad Shahab, Muhammad Iqbal, Hussain Mahmood Sargana, Muhammad Aqeel y Muhammad Arslan Qayyum. "Recent Trends in Cloud Computing and IoT Platforms for IT Management and Development: A Review". Pakistan Journal of Engineering and Technology 6, n.º 1 (10 de marzo de 2023): 98–105. http://dx.doi.org/10.51846/vol6iss1pp98-105.
Texto completoLi, Ran, Jian Hua Fan y Xiao Bo Wang. "Technique of Constructing Cloud Computing Platform Based on Ubuntu Enterprise Cloud". Advanced Materials Research 482-484 (febrero de 2012): 713–16. http://dx.doi.org/10.4028/www.scientific.net/amr.482-484.713.
Texto completoKhalifa, Iraky, Hala El-Sayed y Islam Abd El-Gaber. "Enhanced Mobile Cloud Computing Platform". International Journal of Computer Applications 63, n.º 7 (15 de febrero de 2013): 12–18. http://dx.doi.org/10.5120/10477-5209.
Texto completoTesis sobre el tema "Cloud computing platform"
Khalifa, Ahmed Abdelmonem Abuelfotooh Ali. "Collaborative Computing Cloud: Architecture and Management Platform". Diss., Virginia Tech, 2015. http://hdl.handle.net/10919/72866.
Texto completoPh. D.
Bhattacharjee, Ratnadeep. "An analysis of the cloud computing platform". Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/47864.
Texto completoIncludes bibliographical references.
A slew of articles have been written about the fact that computing will eventually go in the direction of electricity. Just as most software users these days also own the hardware that runs the software, electricity users in the days of yore used to generate their own power. However, over time with standardization in voltage and frequency of generated power and better distribution mechanisms the generation of electricity was consolidated amongst fewer utility providers. The same is being forecast for computing infrastructure. Its is being touted that more and more users will rent computing infrastructure from a utility or "cloud" provider instead of maintaining their own hardware. This phenomenon or technology is being referred to Cloud Computing or Utility Computing. Cloud computing has been in existence in some form or the other since the beginning of computing. However, the advent of vastly improved software, hardware and communication technologies has given special meaning to the term cloud computing and opened up a world of possibilities. It is possible today to start an ecommerce or related company without investing in datacenters. This has turned out to be very beneficial to startups and smaller companies that want to test the efficacy of their idea before making any investment in expensive hardware. Corporations like Amazon, SalesForce.com, Google, IBM, Sun Microsystems, and many more are offering or planning to offer these infrastructure services in one form or another.
(cont.) An ecosystem has already been created and going by the investment and enthusiasm in this space the ecosystem is bound to grow. This thesis tries to define and explain the fundamentals of cloud computing. It looks at the technical aspects of this industry and the kind of applications where cloud can be used. It also looks at the economic value created by the platform, the network externalities, its effect on traditional software companies and their reaction to this technology. The thesis also tries to apply the principle of multi-homing, coring and tipping to the cloud-computing platform and explain the results. The hurdles for both users and providers of this service are also examined in this thesis.
by Ratnadeep Bhattacharjee.
S.M.
Siddiqui, Muhammad Anas. "Cloud Computing : Evaluation, as a platform for Scania Architecture". Thesis, Mittuniversitetet, Institutionen för informationsteknologi och medier, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-18896.
Texto completoMargaris, Nikos. "Cloud Computing v českém prostředí". Master's thesis, Vysoká škola ekonomická v Praze, 2011. http://www.nusl.cz/ntk/nusl-72541.
Texto completoSusani, Nahid. "On Open Platform for Multi-Access Edge Computing". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018.
Buscar texto completoAgarwal, Dinesh. "Scientific High Performance Computing (HPC) Applications On The Azure Cloud Platform". Digital Archive @ GSU, 2013. http://digitalarchive.gsu.edu/cs_diss/75.
Texto completoNASSER, RAFAEL BARBOSA. "A CLOUD COMPUTING PLATFORM FOR STORING GEOREFERENCED MOBILITY DATA". PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2016. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28415@1.
Texto completoCOORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR
CONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO
PROGRAMA DE EXCELENCIA ACADEMICA
A qualidade de vida nos grandes centros urbanos tem sido motivo de preocupação para governantes, empresários e para a população residente em geral. Os serviços de transporte público coletivo exercem papel central nessa discussão, uma vez que determinam, sobretudo para aquela camada da sociedade de menor poder aquisitivo, o tempo desperdiçado diariamente em seus deslocamentos. Nas metrópoles brasileiras, os ônibus municipais são predominantes no transporte coletivo. Os usuários deste serviço – passageiros – não dispõem de informações atualizadas sobre os ônibus e linhas de ônibus em operação. Oferecer essa natureza de informação contribui para uma melhor experiência de uso diário deste modal e, consequentemente, proporciona maior qualidade de vida aos seus usuários. Em uma visão mais abrangente, os ônibus podem ser considerados sensores que viabilizam a compreensão dos padrões e identificação de anomalias no tráfego de veículos nas áreas urbanas, possibilitando galgar benefícios para toda população. O presente trabalho apresenta uma plataforma na nuvem que captura, enriquece, armazena e disponibiliza os dados dos dispositivos de GPS instalados nos ônibus, permitindo a extração de conhecimento a partir deste valioso e volumoso conjunto de informações. Experimentos são realizados com os ônibus do Município do Rio de Janeiro, com aplicações focadas no passageiro e na sociedade. As metodologias, discussões e técnicas empregadas ao longo do trabalho poderão ser reutilizados para diferentes cidades, modais e perspectivas.
The quality of life in urban centers has been a concern for governments, business and the resident population in general. Public transportation services perform a central role in this discussion, since they determine, especially for that layer of lower-income society, the time wasted daily in their movements. In Brazilian cities, city buses are predominant in public transportion. Users of this service - passengers - do not have updated information of buses and lines. Offer this kind of information contributes to a better everyday experience of this modal and therefore provides greater quality of life for its users. In a broader view, the bus can be considered sensors that enable the understanding of the patterns and identify anomalies in vehicle traffic in urban areas, allowing benefits for the whole population. This work presents a platform in the cloud computing environment that captures, enriches, stores and makes available the data from GPS devices installed on buses, allowing the extraction of knowledge from this valuable and voluminous set of information. Experiments are performed with the buses of the Municipality of Rio de Janeiro, with applications focused on passenger and society. The methodologies, discussions and techniques used throughout the work can be reused for different cities, modal and perspectives.
Fouodji, Tasse Ghislain. "μCloud : a P2P cloud platform for computing service provision". Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006669.
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Zhang, Bo. "Self-optimization of infrastructure and platform resources in cloud computing". Thesis, Lille 1, 2016. http://www.theses.fr/2016LIL10207/document.
Texto completoElasticity is considered as an important solution to handle the performance issues in scalable distributed system. However, most of the researches of elasticity only concern the provisioning and de-provisioning resources in automatic ways, but always ignore the resource utilization of provisioned resources. This might lead to resource leaks while provisioning redundant resources, thereby causing unnecessary expenditure. To avoid the resource leaks and redundant resources, my research therefore focus on how to maximize resource utilization by self resource management. In this thesis, relevant to diverse problems of resource usage and allocation in different layers, I propose two resource management approaches corresponding to infrastructure and platform, respectively. To overcome infrastructure limitation, I propose CloudGC as middleware service which aims to free occupied resources by recycling idle VMs. In platform-layer, a self-balancing approach is introduced to adjust Hadoop configuration at runtime, thereby avoiding memory loss and dynamically optimizing Hadoop performance. Finally, this thesis concerns rapid deployment of service which is also an issue of elasticity. A new tool, named "hadoop-benchmark", applies docker to accelerate the installation of Hadoop cluster and to provide a set of docker images which contain several well-known Hadoop benchmarks.The assessments show that these approaches and tool can well achieve resource management and self-optimization in various layers, and then facilitate the elasticity of infrastructure and platform in scalable platform, such as Cloud computing
Gunapati, Venkat Yashwanth. "CLOUD BASED DISTRIBUTED COMPUTING PLATFORM FOR MULTIMODAL ENERGY DATA STREAMS". Case Western Reserve University School of Graduate Studies / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=case1399373847.
Texto completoLibros sobre el tema "Cloud computing platform"
Cloud computing with the Windows Azure Platform. Indianapolis, IN: Wiley Pub., 2009.
Buscar texto completoTony, Guidici, ed. Windows Azure platform. 2a ed. [Berkeley, Calif.]: Apress, 2011.
Buscar texto completoClaudio, Ferracchiati Fabio, ed. Windows Azure platform. [Berkeley, Calif.]: Apress, 2009.
Buscar texto completoHurwitz, Judith. Platform as a service for dummies. Hoboken, NJ: John Wiley & Sons, 2012.
Buscar texto completoWood, James. Getting started with SAP HANA cloud platform. Bonn: Rheinwerk Publishing, 2015.
Buscar texto completoGlen, Martin, Fawcett Andrew y Choi Phil, eds. The developer's guide to the Force.com platform. [United States?]: Salesforce.com, 2008.
Buscar texto completoForce platform fundamentals: An introduction to custom application development in the cloud. [United States?]: Salesforce.com, 2008.
Buscar texto completoMicrosoft Azure yun duan cheng shi she ji: Shi yong ASP.NET MVC kai fa. Xinbei Shi: Bo shuo wen hua gu fen you xian gong si, 2016.
Buscar texto completoMoving applications to the cloud on the Microsoft Windows Azure platform. [Redmond, Wash.]: Microsoft, 2010.
Buscar texto completoBetts, Dominic. Moving applications to the cloud on the Microsoft Windows Azure platform. [Redmond, Wash.]: Microsoft, 2010.
Buscar texto completoCapítulos de libros sobre el tema "Cloud computing platform"
Ji, Shujian, Kejiang Ye y Cheng-Zhong Xu. "CMonitor: A Monitoring and Alarming Platform for Container-Based Clouds". En Cloud Computing – CLOUD 2019, 324–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_23.
Texto completoHassan, Mohammad Mehedi y Eui-Nam Huh. "Overview of Cloud Computing and Motivation of the Work". En Dynamic Cloud Collaboration Platform, 1–12. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-5146-4_1.
Texto completoGonzález, Roberto, Daniel Hernández, Fernando De la Prieta y Ana Belén Gil. "+Cloud: An Agent-Based Cloud Computing Platform". En Distributed Computing and Artificial Intelligence, 377–84. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-00551-5_46.
Texto completoMachiraju, Suren y Suraj Gaurav. "Introducing the Cloud Computing Platform". En Hardening Azure Applications, 1–22. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0920-2_1.
Texto completoSlawinska, Magdalena, Jaroslaw Slawinski y Vaidy Sunderam. "Towards Cross-Platform Cloud Computing". En Euro-Par 2011: Parallel Processing Workshops, 5–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29737-3_2.
Texto completoMachiraju, Suren y Suraj Gaurav. "Introducing the Cloud Computing Platform". En Hardening Azure Applications, 1–41. Berkeley, CA: Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-4188-2_1.
Texto completoZhang, Yonghe, Kejiang Ye y Cheng-Zhong Xu. "An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform". En Cloud Computing – CLOUD 2021, 17–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2_2.
Texto completoEggert, Michael, Daniel Kerpen, Kirsten Rüssmann y Roger Häußling. "SensorCloud: Sociological Contextualization of an Innovative Cloud Platform". En Trusted Cloud Computing, 295–313. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-12718-7_18.
Texto completoZhuo, Yue. "Application of Computing Platform in Cloud Computing". En Lecture Notes in Electrical Engineering, 2339–43. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-0115-6_289.
Texto completoAmini Salehi, Mohsen y Xiangbo Li. "Prototype Implementation of the MSC Platform". En Multimedia Cloud Computing Systems, 163–78. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-88451-2_9.
Texto completoActas de conferencias sobre el tema "Cloud computing platform"
Lee, Jaehun, Hochul Lee, Young Choon Lee, Hyuck Han y Sooyong Kang. "Platform Support for Mobile Edge Computing". En 2017 IEEE 10th International Conference on Cloud Computing (CLOUD). IEEE, 2017. http://dx.doi.org/10.1109/cloud.2017.84.
Texto completoLoganayagi, B. y S. Sujatha. "Cloud computing in Stax Platform". En 2011 International Conference on Computer, Communication and Electrical Technology (ICCCET). IEEE, 2011. http://dx.doi.org/10.1109/icccet.2011.5762436.
Texto completoSefraoui, Omar, Mohammed Aissaoui y Mohsine Eleuldj. "Management platform for Cloud Computing". En 2015 International Conference on Cloud Technologies and Applications (CloudTech). IEEE, 2015. http://dx.doi.org/10.1109/cloudtech.2015.7336968.
Texto completoVieira, Lucas, Adbys Vasconcelos, Ítalo Batista, Rodolfo A. M. Silva y Francisco Brasileiro. "DisOpenFaaS: A Distributed Function-as-a-Service Platform". En XXXVII Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbrc_estendido.2019.7767.
Texto completoShen, Zhidong, Li Li, Fei Yan y Xiaoping Wu. "Cloud Computing System Based on Trusted Computing Platform". En 2010 International Conference on Intelligent Computation Technology and Automation (ICICTA). IEEE, 2010. http://dx.doi.org/10.1109/icicta.2010.724.
Texto completoRoloff, Eduardo, Francis Birck, Matthias Diener, Alexandre Carissimi y Philippe O. A. Navaux. "Evaluating High Performance Computing on the Windows Azure Platform". En 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.47.
Texto completoFalfushinsky, Vladislav, Olena Skarlat y Vadim Tulchinsky. "Cloud computing platform within Grid Infrastructure". En 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS). IEEE, 2013. http://dx.doi.org/10.1109/idaacs.2013.6663018.
Texto completoLoganayagi, B. y S. Sujatha. "Creating virtual platform for cloud computing". En 2010 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC). IEEE, 2010. http://dx.doi.org/10.1109/iccic.2010.5705744.
Texto completoXiaoping, Xu y Yan Junhu. "Research on Cloud Computing Security Platform". En 2012 Fourth International Conference on Computational and Information Sciences (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccis.2012.238.
Texto completoJarraya, Y., A. Eghtesadi, M. Debbabi, Y. Zhang y M. Pourzandi. "Cloud calculus: Security verification in elastic cloud computing platform". En 2012 International Conference on Collaboration Technologies and Systems (CTS). IEEE, 2012. http://dx.doi.org/10.1109/cts.2012.6261089.
Texto completoInformes sobre el tema "Cloud computing platform"
Birman, Ken. Platform for High-Assurance Cloud Computing. Fort Belvoir, VA: Defense Technical Information Center, junio de 2016. http://dx.doi.org/10.21236/ad1010441.
Texto completoBartock, Michael, Murugiah Souppaya, Ryan Savino, Tim Knoll, Uttam Shetty, Mourad Cherfaoui, Raghu Yeluri et al. Hardware-Enabled Security: Enabling a Layered Approach to Platform Security for Cloud and Edge Computing Use Cases. National Institute of Standards and Technology, octubre de 2021. http://dx.doi.org/10.6028/nist.ir.8320-draft2.
Texto completoOleksiuk, Vasyl P., Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk y Yaroslav P. Vasylenko. Some experience in maintenance of an academic cloud. [б. в.], junio de 2021. http://dx.doi.org/10.31812/123456789/4436.
Texto completoZhylenko, Tetyana I. Auto Checker of Higher Mathematics - an element of mobile cloud education. [б. в.], julio de 2020. http://dx.doi.org/10.31812/123456789/3895.
Texto completoSolovyanenko, Nina I. ЮРИДИЧЕСКИЕ СТРАТЕГИИ ЦИФРОВОЙ ТРАНСФОРМАЦИИ АГРАРНОГО БИЗНЕСА. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70004.
Texto completoSolovyanenko, Nina I. Legal features of innovative (digital) entrepreneurship in the agricultural and food sector. DOI CODE, 2021. http://dx.doi.org/10.18411/0131-5226-2021-70008.
Texto completoVarina, Hanna B., Viacheslav V. Osadchyi, Kateryna P. Osadcha, Svetlana V. Shevchenko y Svitlana H. Lytvynova. Peculiarities of cloud computing use in the process of the first-year students' adaptive potential development. [б. в.], junio de 2021. http://dx.doi.org/10.31812/123456789/4453.
Texto completoOleksiuk, Vasyl P. y Olesia R. Oleksiuk. Methodology of teaching cloud technologies to future computer science teachers. [б. в.], julio de 2020. http://dx.doi.org/10.31812/123456789/3891.
Texto completoIatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko y Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], septiembre de 2019. http://dx.doi.org/10.31812/123456789/3248.
Texto completoKaleagasi, Bartu, Sean McCarthy y Peter Beaumont. Geospatial Public Policy: Global Best Practices for Harnessing the Potential of Satellite Technologies and Applications. Inter-American Development Bank, septiembre de 2022. http://dx.doi.org/10.18235/0004484.
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