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Journal articles on the topic 'Paper computing'

To see the other types of publications on this topic, follow the link: Paper computing.

Author: Grafiati

Published: 10 December 2022

Last updated: 28 January 2023

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1

Gautam, Abhishek. "Cloud Computing: A Review Paper." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 3233–36. http://dx.doi.org/10.22214/ijraset.2022.44588.

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Abstract: Cloud computing is a major aspect for present time. In today’s world, it is going to became a part of life as it makes the work easy at every region as in business sector or for students or in any sector where we need to store data. With the help of cloud computing, life of people became easy because we don’t have to carry data in the form of register and log, we can simply check our data anywhere by my personal handset or personal laptop. It is more secure as well. It is less costly than other traditional computing. In this paper we will discuss about the services of cloud computing, then about the types of cloud computing, after that we will discuss its important factor that how is it beneficial for us? How can we use it in daily life? We will also discuss about the challenges happening in future due to spread of cloud computing

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Srivastava, Priyanshu, and Rizwan Khan. "A Review Paper on Cloud Computing." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 6 (June 29, 2018): 17. http://dx.doi.org/10.23956/ijarcsse.v8i6.711.

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Today is the era of Cloud Computing Technology in IT Industries. Cloud computing which is based on Internet has the most powerful architecture of computation. It reckons in of a compilation of integrated and networked hardware, software and internet infrastructure. It has various avails atop grid computing and other computing. In this paper, I have given a brief of evaluation of cloud computing by reviewing more than 30 articles on cloud computing. The outcome of this review signalizes the face of the IT industries before and after the cloud computing.

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Kaple, Rutuja G., and Prof S. B. Rathod. "Review Paper On An Efficient Encryption Scheme In Cloud Computing Using ABE." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 415–18. http://dx.doi.org/10.31142/ijtsrd10915.

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Shah, Krutika K., Vahida U. Vadiya, and Rutvij H. Jhaveri. "A Survey Paper on Security in Cloud Computing: A Bibliographic Analysis." Circulation in Computer Science 1, no. 2 (December 24, 2016): 19–23. http://dx.doi.org/10.22632/ccs-2016-251-40.

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Cloud Computing uses a network of remote servers hosted on the internet to store, manage and process data, rather than a local server or a personal computer. Cloud computing provides services on demand. In the recent time, Cloud Computing is highly demanded service because of the advantages like high computing power, less cost of services, high performance, scalability, reliability, accessibility as well as availability. To understand cloud security, there are referred high level publisher’s papers. For this review total 122 research paper of security issues in cloud computing till May 2016. For this paper included studied graphical and systematic review of various research work carried out on cloud computing. These findings show that the research in Cloud Computing received more attention over the past few years. There are referred high level publisher’s paper for better understanding about the security issues in cloud computing. This analysis would provide insights for researches, students, publishers, experts to study current research trend in cloud computing, helps to peoples for any issues about cloud computing.

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Li, Bo. "Application of Cloud Computing in Walling Management." Advanced Materials Research 756-759 (September 2013): 1840–44. http://dx.doi.org/10.4028/www.scientific.net/amr.756-759.1840.

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Facing the current inadequacy of informatization in walling management, this paper focuses on the design to use cloud computings reliability, secure data storage, convenient web services and strong capability of calculation. In addition, this paper sets up a model based on cloud-computing for walling management in governments. Firstly, the paper briefly introduces cloud computing, and then analyzes the advantage of walling management platform. Moreover, this paper points out the key issues should be solved. It will bring the positive effect of walling management informatization to government of China.

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6

Singh, Hardeep. "Cloud Computing: An Internet Based Computing." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 2, no. 3 (June 30, 2012): 116–21. http://dx.doi.org/10.24297/ijct.v2i3b.2701.

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Present paper focuses on the overview of Cloud Computing. Cloud Computing is an Internet-based computing; where resources, software and information are provided to computers on-demand, like a public utility; is emerging as a platform for sharing resources like infrastructure, software and various applications. This paper does a literature survey on some of the prominent applications of Cloud Computing, and how they meet the requirements of reliability, availability of data, scalability of software and hardware systems and overall customer satisfaction.

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Tedre, Matti, and Nella Moisseinen. "Experiments in Computing: A Survey." Scientific World Journal 2014 (2014): 1–11. http://dx.doi.org/10.1155/2014/549398.

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Experiments play a central role in science. The role of experiments in computing is, however, unclear. Questions about the relevance of experiments in computing attracted little attention until the 1980s. As the discipline then saw a push towards experimental computer science, a variety of technically, theoretically, and empirically oriented views on experiments emerged. As a consequence of those debates, today's computing fields use experiments and experiment terminology in a variety of ways. This paper analyzes experimentation debates in computing. It presents five ways in which debaters have conceptualized experiments in computing: feasibility experiment, trial experiment, field experiment, comparison experiment, and controlled experiment. This paper has three aims: to clarify experiment terminology in computing; to contribute to disciplinary self-understanding of computing; and, due to computing’s centrality in other fields, to promote understanding of experiments in modern science in general.

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Schüller, F., S. Ostermann, R. Prodan, and G. J. Mayr. "Experiences with distributed computing for meteorological applications: Grid computing and Cloud computing." Geoscientific Model Development Discussions 8, no. 2 (February 10, 2015): 1171–99. http://dx.doi.org/10.5194/gmdd-8-1171-2015.

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Abstract. Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology. Presenting Cloud and Grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance computing concepts and allows for simple, powerful and cost effective access to computing capacity.

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Oesterle, F., S. Ostermann, R. Prodan, and G. J. Mayr. "Experiences with distributed computing for meteorological applications: grid computing and cloud computing." Geoscientific Model Development 8, no. 7 (July 13, 2015): 2067–78. http://dx.doi.org/10.5194/gmd-8-2067-2015.

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Abstract. Experiences with three practical meteorological applications with different characteristics are used to highlight the core computer science aspects and applicability of distributed computing to meteorology. Through presenting cloud and grid computing this paper shows use case scenarios fitting a wide range of meteorological applications from operational to research studies. The paper concludes that distributed computing complements and extends existing high performance computing concepts and allows for simple, powerful and cost-effective access to computing capacity.

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10

AlHakami, Hosam. "Comparison Between Cloud and Grid Computing: Review Paper." International Journal on Cloud Computing: Services and Architecture 2, no. 4 (August 31, 2012): 1–21. http://dx.doi.org/10.5121/ijccsa.2012.2401.

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Katla, Shrikant, Mahesh Sharma, Pramod Shrigiri, and Anurag Madrewar. "SHORT PAPER ON VIRTUAL UPGRADATION OFMOBILE COMPUTING POWER." Journal of Research in Engineering and Applied Sciences 04, no. 02 (April 15, 2019): 91–92. http://dx.doi.org/10.46565/jreas.2019.v04i02.007.

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Kanai, Kenji, Kentaro Imagane, and Jiro Katto. "[Invited Paper] Overview of Multimedia Mobile Edge Computing." ITE Transactions on Media Technology and Applications 6, no. 1 (2018): 46–52. http://dx.doi.org/10.3169/mta.6.46.

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Gedeon, Tom. "Bio-inspired computing tools and applications: position paper." International Journal of Information Technology 9, no. 1 (February 22, 2017): 7–17. http://dx.doi.org/10.1007/s41870-017-0006-y.

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Nugraha, Beny. "Analisis Teknik-Teknik Keamanan Pada Future Cloud Computing vs Current Cloud Computing: Survey Paper." Jurnal Nasional Teknologi dan Sistem Informasi 2, no. 2 (August 20, 2016): 35–42. http://dx.doi.org/10.25077/teknosi.v2i2.2016.35-42.

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Cloud computing adalah salah satu dari teknologi jaringan yang sedang berkembang pesat saat ini, hal ini dikarenakan cloud computing memiliki kelebihan dapat meningkatkan fleksibilitas dan kapabilitas dari proses komputer secara dinamis tanpa perlu mengeluarkan dana besar untuk membuat infrastruktur baru, oleh karena itu, peningkatan kualitas keamanan jaringan cloud computing sangat diperlukan. Penelitian ini akan meneliti teknik-teknik keamanan yang ada pada cloud computing saat ini dan arsitektur cloud computing masa depan, yaitu NEBULA. Teknik-teknik keamanan tersebut akan dibandingkan dalam hal kemampuannya dalam menangani serangan-serangan keamanan yang mungkin terjadi pada cloud computing. Metode yang digunakan pada penelitian ini adalah metode attack centric, yaitu setiap serangan keamanan dianalisis karakteristiknya dan kemudian diteliti mekanisme keamanan untuk menanganinya. Terdapat empat serangan keamanan yang diteliti dalam penelitian ini, dengan mengetahui bagaimana cara kerja sebuah serangan keamanan, maka akan diketahui juga mekanisme keamanan yang mana yang bisa mengatasi serangan tersebut. Dari penelitian ini didapatkan bahwa NEBULA memiliki tingkat keamanan yang paling tinggi. NEBULA memiliki tiga teknik baru yaitu Proof of Consent (PoC), Proof of Path (PoP), dan teknik kriptografi ICING. Ketiga teknik tersebut ditambah dengan teknik onion routing dapat mengatasi serangan keamanan yang dianalisa pada penelitian ini.

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Lu, Gang, and Wen Hua Zeng. "Cloud Computing Survey." Applied Mechanics and Materials 530-531 (February 2014): 650–61. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.650.

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Since the concept of cloud computing was proposed in 2006, cloud computing has been considered as the technology that probably drives the next-generation Internet revolution and rapidly becomes the hottest topic in the field of IT. The paper synthetically introduces cloud computing techniques, including the currently non-uniform definition and the characteristics of cloud computing; The paper also introduces the core techniques of cloud computing, such as data management techniques, data storage techniques, programming model and virtualization techniques. Then the 4-tie overall technique framework of general cloud computing is talked about. Finally, the paper talks about the obstacles and opportunities.

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Abdul Alsahib S. Aldeen, Yousra, Mazleena Salleh, and Mohammad Abdur Razzaque. "A Survey Paper on Privacy Issue in Cloud Computing." Research Journal of Applied Sciences, Engineering and Technology 10, no. 3 (May 30, 2015): 328–37. http://dx.doi.org/10.19026/rjaset.10.2495.

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Kumar, Dinesh, Navneet Kumar Verma, and Nupur Singh. "A review paper on deducting database in membrane computing." Journal of Statistics and Management Systems 21, no. 4 (June 19, 2018): 667–73. http://dx.doi.org/10.1080/09720510.2018.1475077.

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18

Lee, N., and A. Millman. "ABC of Medical Computing: GETTING YOUR THOUGHTS ON PAPER." BMJ 311, no. 6999 (July 22, 1995): 245–49. http://dx.doi.org/10.1136/bmj.311.6999.245.

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19

O, Ms Honeymol, and Ms Silja Varghese. "Survey Paper for Maximization of Profit in Cloud Computing." International Journal of Computer Trends and Technology 10, no. 5 (April 25, 2014): 247–52. http://dx.doi.org/10.14445/22312803/ijctt-v10p144.

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Negru, Catalin, and Valentin Cristea. "Cost models - pillars for efficient cloud computing: position paper." International Journal of Intelligent Systems Technologies and Applications 12, no. 1 (2013): 28. http://dx.doi.org/10.1504/ijista.2013.055102.

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21

Kesswani, Nishtha, and Shelendra Kumar Jain. "Schematic Classification Model of Green Computing Approaches." Journal of Cases on Information Technology 17, no. 3 (July 2015): 14–21. http://dx.doi.org/10.4018/jcit.2015070102.

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Every electronic device has an impact on the environment, and computing devices are not an exception. Green computing is a highly motivated smart computing which tries to save energy and environment by minimizing harmful impacts of computing resource's production and their uses. As the 21st Century is known for Information Technology Revolution, major negative impact of computing resources on environment are day by days increasing contribution to carbon dioxide emission, hazardous substances, e-Waste and high consumption of energy. Nowadays Global Warming is a big issue which is responsible for climate changes. And according to many available facts computing resources are highly affecting it directly and indirectly. So the world's moral duties motivate it to save earth and environment from these harmful impacts, whose outcome is Green Computing. This paper focus on classification of various existing approaches which are used for Green Computing. This classification enhances researcher's concentration on particular classified category for their future contribution so that Green Computing's main aims can be fulfilled.

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Sadiku, Matthew N. O., Mahamadou Tembely, and Sarhan M. Musa. "NATURAL COMPUTING." International Journal of Advanced Research in Computer Science and Software Engineering 8, no. 5 (June 2, 2018): 7. http://dx.doi.org/10.23956/ijarcsse.v8i5.597.

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Natural computing refers to the field that investigates both human-designed computing inspired by nature and computing taking place in nature. It is based on the premise that “nature computes.” Due of its interdisciplinary nature, natural computing covers a spectrum of research areas including biology, chemistry, physics, computer science, and engineering. This paper provides a brief introduction to natural computing.

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Stork, David G., and Patrick R. Gill. "I2.3:Invited Paper: Computational Diffractive Sensing and Imaging: Using Optics for Computing and Computing for Optics." SID Symposium Digest of Technical Papers 46, no. 1 (June 2015): 184–86. http://dx.doi.org/10.1002/sdtp.10299.

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24

Helland, Pat. "Autonomous Computing." Queue 20, no. 1 (February 28, 2022): 80–104. http://dx.doi.org/10.1145/3526208.

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Autonomous computing is a pattern for business work using collaborations to connect fiefdoms and their emissaries. This pattern, based on paper forms, has been used for centuries. Here, we explain fiefdoms, collaborations, and emissaries. We examine how emissaries work outside the autonomous boundary and are convenient while remaining an outsider. And we examine how work across different fiefdoms can be initiated, run for long periods of time, and eventually be completed.

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25

Thomas, P. Y. "Cloud computing." Electronic Library 29, no. 2 (April 12, 2011): 214–24. http://dx.doi.org/10.1108/02640471111125177.

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PurposeThis paper aims to explore the educational potential of “cloud computing” (CC), and how it could be exploited in enhancing engagement among educational researchers and educators to better understand and improve their practice, in increasing the quality of their students' learning outcomes, and, thus, in advancing the scholarship of teaching and learning (SoTL) in a higher education context.Design/methodology/approachAdoption of the ideals of SoTL is considered an important approach for salvaging the higher education landscape around the world that is currently in a state of flux and evolution as a result of rapid advances in information and communications technology, and the subsequent changing needs of the digital natives. The study is based on ideas conceptualised from reading several editorials and articles on server virtualisation technology and cloud computing in several journals, with the eSchool News as the most important one. The paper identifies two cloud computing tools, their salient features and describes how cloud computing can be used to achieve the ideals of SoTL.FindingsThe study reports that the cloud as a ubiquitous computing tool and a powerful platform can enable educators to practise the ideals of SoTL. Two of the most useful free “cloud computing” applications are the Google Apps for Education which is a free online suite of tools that includes Gmail for e‐mail and Google Docs for documents, spreadsheets, and presentations, and Microsoft's cloud service (Live@edu) including the SkyDrive. Using the cloud approach, everybody can work on the same document at the same time to make corrections as well as improve it dynamically in a collaborative manner.Practical implicationsCloud computing has a significant place in higher education in that the appropriate use of cloud computing tools can enhance engagement among students, educators, and researchers in a cost effective manner. There are security concerns but they do not overshadow the benefits.Originality/valueThe paper provides insights into the possibility of using cloud computing delivery for originating a new instructional paradigm that makes a shift possible from the traditional practice of teaching as a private affair to a peer‐reviewed transparent process, and makes it known how student learning can be improved generally, not only in one's own classroom but also beyond it.

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Connolly, Randy. "Can Citizenship Education Benefit Computing?" Informatics 9, no. 4 (November 18, 2022): 93. http://dx.doi.org/10.3390/informatics9040093.

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A recurring motif in recent scholarship in the computing ethics and society studies (CESS) subfield within computing have been the calls for a wider recognition of the social and political nature of computing work. These calls have highlighted the limitations of an ethics-only approach to covering social and political topics such as bias, fairness, equality, and justice within computing curricula. However, given the technically focused background of most computing educators, it is not necessarily clear how political topics should best be addressed in computing courses. This paper proposes that one helpful way to do so is via the well-established pedagogy of citizenship education, and as such it endeavors to introduce the discourse of citizenship education to an audience of computing educators. In particular, the change within citizenship education away from its early focus on personal responsibility and duty to its current twin focus on engendering civic participation in one’s community along with catalyzing critical attitudes to the realities of today’s social, political, and technical worlds, is especially relevant to computing educators in light of computing’s new-found interest in the political education of its students. Related work in digital literacy education is also discussed.

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Pasti, Rodrigo, Fernando José Von Zuben, and Leandro Nunes de Castro. "Ecosystems Computing." International Journal of Natural Computing Research 2, no. 4 (October 2011): 47–67. http://dx.doi.org/10.4018/jncr.2011100104.

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The main issue to be presented in this paper is based on the premise that Nature computes, that is, processes information. This is the fundamental of Natural Computing. Biogeographic Computation will be presented as a Natural Computing approach aimed at investigating ecosystems computing. The first step towards formalizing Biogeographic Computation will be given by defining a metamodel, a framework capable of generating models that compute through the elements of an ecosystem. It will also be discussed how this computing can be realized in current computers.

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Liu, Hanwen, Shuo Wang, Huali Ren, Shunmei Meng, Jun Hou, and Qianmu Li. "Keywords-Driven Paper Recommendation Based on Mobile Edge Computing Environment Framework." Scientific Programming 2022 (April 8, 2022): 1–17. http://dx.doi.org/10.1155/2022/3943419.

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In the cloud computing era, a paper recommender system is usually deployed on the cloud server and return recommendation results to readers directly. However, considering the paper recommender system, processing tremendous paper citation data on the cloud cannot provide fine-grained personalized and real-time recommendations for each reader because these recommended papers from the cloud are far from readers and probably not correlated strongly with each other for helping each reader research further and deeper in the interested field. Recently, the edge-cloud collaboration-based recommender system has been used for releasing parts of the cloud computing task to the edge and provides the recommendation near the client. Based on the edge computing recommender system, a keywords-driven and weight-aware paper recommendation approach is presented, namely, LP-PRk+ w (link prediction-paper recommendation), to enable intelligent, personalized, and efficient paper recommendation services in the mobile edge computing environment. Specifically, the whole paper recommendation process mainly covers two parts: optimizing the existing paper citation graph via introducing a weighted similarity (i.e., building a weighted paper correlation graph) and then recommending a set of correlated papers according to the weighted paper correlation graph and the users’ query keywords. Experiments on a real-world paper correlation dataset, Hep-Th, show the capability of our proposal for improving the paper recommendation performance and its superiority against other related solutions.

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Jena, Rabindra Ku, and D. G. Dey. "Green Computing." International Journal of Knowledge Society Research 2, no. 1 (January 2011): 61–70. http://dx.doi.org/10.4018/jksr.2011010105.

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Information technology (IT) is playing an increasingly important role in both business and individuals’ private lives. It is also consuming ever greater amounts of energy; therefore, it is a significant source of CO² emissions. Thus, environmental and energy conservation issues have gained attention in recent years. The reality of rising energy costs and their impact on international affairs coupled with the increased concern over the global warming climate crisis and other environmental issues have shifted the social and economic consciousness of modern society. This paper discusses different aspects of green computing and its impact in India.

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Pradhananga, Yanish, and Pothuraju Rajarajeswari. "Tiarrah Computing: The Next Generation of Computing." International Journal of Informatics and Communication Technology (IJ-ICT) 6, no. 2 (August 1, 2017): 129. http://dx.doi.org/10.11591/ijict.v6i2.pp129-138.

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The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development. Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. In order to combat these technicalities, many new technologies and strategies are being developed. Tiarrah Computing comes up with integration the concept of Cloud Computing, Fog Computing and Edge Computing. The main objectives of Tiarrah Computing are to decouple application deployment and achieve High Performance, Flexible Application Development, High Availability, Ease of Development, Ease of Maintenances etc. Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.

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Pradhananga, Yanish, and Pothuraju Rajarajeswari. "Tiarrah Computing: The Next Generation of Computing." International Journal of Electrical and Computer Engineering (IJECE) 8, no. 2 (April 1, 2018): 1247. http://dx.doi.org/10.11591/ijece.v8i2.pp1247-1255.

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The evolution of Internet of Things (IoT) brought about several challenges for the existing Hardware, Network and Application development. Some of these are handling real-time streaming and batch bigdata, real- time event handling, dynamic cluster resource allocation for computation, Wired and Wireless Network of Things etc. In order to combat these technicalities, many new technologies and strategies are being developed. Tiarrah Computing comes up with integration the concept of Cloud Computing, Fog Computing and Edge Computing. The main objectives of Tiarrah Computing are to decouple application deployment and achieve High Performance, Flexible Application Development, High Availability, Ease of Development, Ease of Maintenances etc. Tiarrah Computing focus on using the existing opensource technologies to overcome the challenges that evolve along with IoT. This paper gives you overview of the technologies and design your application as well as elaborate how to overcome most of existing challenge.

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Bhatt, Chintan, and C. K. Bhensdadia. "Fog Computing." International Journal of Grid and High Performance Computing 9, no. 4 (October 2017): 105–13. http://dx.doi.org/10.4018/ijghpc.2017100107.

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The Internet of Things could be a recent computing paradigm, defined by networks of extremely connected things – sensors, actuators and good objects – communication across networks of homes, buildings, vehicles, and even individuals whereas cloud computing could be ready to keep up with current processing and machine demands. Fog computing provides architectural resolution to deal with some of these issues by providing a layer of intermediate nodes what's referred to as an edge network [26]. These edge nodes provide interoperability, real-time interaction, and if necessary, computational to the Cloud. This paper tries to analyse different fog computing functionalities, tools and technologies and research issues.

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Li, Wei, and Dong Xin Lu. "Study on Cloud Computing." Applied Mechanics and Materials 263-266 (December 2012): 2020–23. http://dx.doi.org/10.4028/www.scientific.net/amm.263-266.2020.

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This paper summarizes some issues occurred in the development of cloud computing. First we introduce the background of cloud computing and the difference between cloud computing and others. Then we talk about the architecture and the characteristics of cloud computing. In the end of this paper, we discuss some issues in cloud computing.

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Wolff, Martin, and W. V. J. Van Rensburg. "Computing the Internal Rate of Return (includes associated paper 15843)." Journal of Petroleum Technology 38, no. 05 (May 1, 1986): 577–82. http://dx.doi.org/10.2118/14879-pa.

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Ishtiaq, Sheeza, Ahthasham Sajid, and Raja Asif Wagan. "REVIEW PAPER ON WEARABLE COMPUTING ITS APPLICATIONS AND RESEARCH CHALLENGES." Acta Electronica Malaysia 3, no. 2 (March 5, 2019): 37–40. http://dx.doi.org/10.26480/aem.02.2019.37.40.

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Katiyar, Nishant, and Rakesh Bhujade. "E-Learning System based on Cloud Computing A Review Paper." International Journal of Computer Sciences and Engineering 7, no. 1 (January 31, 2019): 837–42. http://dx.doi.org/10.26438/ijcse/v7i1.837842.

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37

Kansal, Rajnish. "Review Paper on Security of Cloud Computing using Genetic Algorithm." International Journal for Research in Applied Science and Engineering Technology 7, no. 7 (July 31, 2019): 357–59. http://dx.doi.org/10.22214/ijraset.2019.7054.

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Muhammad, Khair, and M. N. A. Khan. "Augmenting Mobile Cloud Computing through Enterprise Architecture: A Survey Paper." International Journal of Grid and Distributed Computing 8, no. 3 (June 30, 2015): 323–36. http://dx.doi.org/10.14257/ijgdc.2015.8.3.30.

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Yao, Yulin. "Cloud Computing." International Journal of Organizational and Collective Intelligence 5, no. 3 (July 2015): 32–43. http://dx.doi.org/10.4018/ijoci.2015070103.

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This paper provides an overview of Cloud Computing between Year 2009 and Year 2015. It presents the past and current literature and practices for Cloud Computing. Literatrue review is undertaken to identify key areas relevant to current Cloud Computing development. Review on frameworks for Cloud computing has also been presented to illustrate the good use of structured and valid framework approaches. Topics of discussion demonstrate that Cloud computing can provide added values not only to businesses but also Higher Education. Future directions and conclusion have been presented and acknowledged, including the development of a new framework. Cloud Computing is concluded to provide better services and integrations with other emerging technologies such as Big Data.

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Trivedi, Mayank, and Vishnu Suthar. "Cloud Computing." International Journal of User-Driven Healthcare 3, no. 2 (April 2013): 69–77. http://dx.doi.org/10.4018/ijudh.2013040108.

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Libraries are increasingly adopting cloud computing, a new technology model for Information Technology (IT) services. Cloud computing is of interest to health care professionals as well as health consumers. Health Science libraries maintain more control over the applications and data repositories that contain sensitive, private information about patrons. Provision and maintenance of infrastructure for web-based digital library presents several challenges. It allows them to avoid locally hosting multiple servers, housing massive equipment and constantly dealing with hardware failure, software installs, upgrades and compatibility issues. This paper describes the concept, current status of cloud computing and its application in health science libraries. Then it proposed to improve current user service via cloud computing.

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Routledge, Norman. "Computing Farey Series." Mathematical Gazette 92, no. 523 (March 2008): 55–62. http://dx.doi.org/10.1017/s002555720018252x.

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The Farey series of order n, Fn, consists of all the fractions between 0 and 1 (inclusive) with denominators less than or equal to n, arranged in order of magnitude and expressed in their lowest terms, so that for example The most obvious way of computing one is to assign a long series of stores and then insert the terms with denominator 1, with denominator 2, … , shifting the terms already there to make room for the new ones in their correct positions. This may require a large amount of storage and is fairly slow because of the large amount of shifting involved: for instance F1025 has 319765 terms, and occupies 400 printed pages (see Neville [1]). Neville also gives a table related to F100, which has 3045 terms. His procedures, a heroic application of pencil-and-paper methods, are described at the end of this paper.

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Quilici-Gonzalez, J. A., G. Kobayashi, M. C. Broens, and M. E. Q. Gonzalez. "Ubiquitous Computing." International Journal of Technoethics 1, no. 3 (July 2010): 11–23. http://dx.doi.org/10.4018/jte.2010070102.

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In this article, the authors investigate, from an interdisciplinary perspective, possible ethical implications of the presence of ubiquitous computing systems in human perception/action. The term ubiquitous computing is used to characterize information-processing capacity from computers that are available everywhere and all the time, integrated into everyday objects and activities. The contrast in approach to aspects of ubiquitous computing between traditional considerations of ethical issues and the Ecological Philosophy view concerning its possible consequences in the context of perception/action are the underlying themes of this paper. The focus is on an analysis of how the generalized dissemination of microprocessors in embedded systems, commanded by a ubiquitous computing system, can affect the behaviour of people considered as embodied embedded agents.

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Schroeder, Marcin J. "Intelligent Computing: Oxymoron?" Proceedings 47, no. 1 (May 7, 2020): 31. http://dx.doi.org/10.3390/proceedings2020047031.

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The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context. After all, the question of qualification for human beings to be considered intelligent does not have a definite answer. There is not even a common agreement on whether we can identify criteria for one (general or unified) intelligence or whether we should rather consider multiple intelligences. Thus, our discussion is focusing not on a complete definition of intelligence, but only on its necessary conditions, and not on computing artefacts, but on the process of computing in its Turing Machine model. Are there any features of computing which are in contradiction with the idea of intelligence? This is the reason why the title of this paper is formulated in a negative way, with the question of whether intelligent computing is an oxymoron.

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Schroeder, Marcin J. "Intelligent Computing: Oxymoron?" Proceedings 47, no. 1 (May 7, 2020): 31. http://dx.doi.org/10.3390/proceedings47010031.

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The present paper is intended as a defense of the view that whatever makes AI so useful and successful in competition with humans, it does not have to be intelligence, at least as we use this term in the human context. After all, the question of qualification for human beings to be considered intelligent does not have a definite answer. There is not even a common agreement on whether we can identify criteria for one (general or unified) intelligence or whether we should rather consider multiple intelligences. Thus, our discussion is focusing not on a complete definition of intelligence, but only on its necessary conditions, and not on computing artefacts, but on the process of computing in its Turing Machine model. Are there any features of computing which are in contradiction with the idea of intelligence? This is the reason why the title of this paper is formulated in a negative way, with the question of whether intelligent computing is an oxymoron.

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Malik, Babur Hayat, Faisal Mahmood, Sohail Shahzad, Muhammad Bilawal Arif, Waseem Ur Rehman Khan, Sadaf Ilyas, and Muhammad Hassan. "From cloud computing to fog computing in Healthcare big data." MATEC Web of Conferences 189 (2018): 03011. http://dx.doi.org/10.1051/matecconf/201818903011.

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In Healthcare big data, data is originated from various heterogeneous sources. Numerous novel base particular healthcare applications offered to handling source of data from electronic health record (EHR) to medical images. Imaging, Electronic Health Report, technology in light of sensor and numerous different procedures created an immense measure of Healthcare data. Cloud computing development was an excellent paradigm to substantiate big data which incited find of imperceptible examples. Cloud computing is a developing new registering design intended to answer different contending administrations on the Web. Fog Computing is a design style in which arrange segments amongst devices and the cloud execute application-particular rationale. We in this paper investigate, characterize, and talk about various application of cloud and fog computing. We talk about the impact of cloud computing and fog computing on healthcare big data. Cloud base framework for Homediagnosis Service, Fog computing architecture and the justification of moving from cloud to Fog presented comprehensively in this paper.

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Pawar, Shailaja Dilip. "Cloud Computing: A Review." International Journal for Research in Applied Science and Engineering Technology 9, no. 12 (December 31, 2021): 1201–4. http://dx.doi.org/10.22214/ijraset.2021.39472.

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Abstract: Cloud computing is actually a model for enabling convenient, limitless, on demand network access to a shared pool of computing resource. This paper describes introductory part explain the concept of cloud computing, different components of cloud, types of cloud service development. At last paper elaborates the classification of cloud computing which will clear the ovelall idea of cloud computing to the learners who are new to this field. Keywords: cloud computing, SaaS, PaaS, IaaS

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Khan, Nawsher, Noraziah Ahmad, Tutut Herawan, and Zakira Inayat. "Cloud Computing." International Journal of Cloud Applications and Computing 2, no. 3 (July 2012): 68–85. http://dx.doi.org/10.4018/ijcac.2012070103.

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Efficiency (in term of time consumption) and effectiveness in resources utilization are the desired quality attributes in cloud services provision. The main purpose of which is to execute jobs optimally, i.e., with minimum average waiting, turnaround and response time by using effective scheduling technique. Replication provides improved availability and scalability; decreases bandwidth use and increases fault tolerance. To speed up access, file can be replicated so a user can access a nearby replica. This paper proposes architecture to convert Globally One Cloud to Locally Many Clouds. By combining replication and scheduling, this architecture improves efficiency and easy accessibility. In the case of failure of one sub cloud or one cloud service, clients can start using another cloud under “failover” techniques. As a result, no one cloud service will go down.

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Mahajan, Rini, and Dr Dheerendra Singh. "Cloud Computing Issues." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 4, no. 2 (November 30, 2005): 626–30. http://dx.doi.org/10.24297/ijct.v4i2c2.4185.

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Abstract- Cloud computing is Internet-based computing, whereby shared resources, software and information, are provided to computers and devices on-demand, like the electricity grid. It aims to construct a perfect system with powerful computing capability through a large number of relatively low-cost computing entity, and using the advanced business models like SaaS (Software as a Service), PaaS (Platform as a Service), IaaS (Infrastructure as a Service) to distribute the powerful computing capacity to end usersâ€™ hands. Cloud Computing represents a new computing model that poses many demanding security issues at all levels, e.g., network, host, application, and data levels. The variety of the delivery models presents different security challenges depending on the model and consumersâ€™ Quality of Service (QoS) requirements. Confidentiality, Integrity, Availability, Authenticity, and Privacy are essential concerns for both Cloud providers and consumers as well. This paper introduces the existing issues in cloud computing such as security, privacy, reliability and so on. This paper surveys the security problems of current cloud computing.

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HAMLEN, KEVIN W., and BHAVANI THURAISINGHAM. "SECURE SEMANTIC COMPUTING." International Journal of Semantic Computing 05, no. 02 (June 2011): 121–31. http://dx.doi.org/10.1142/s1793351x11001201.

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This paper explores the integration of semantic computing technologies with security technologies. Past and current research on the application of semantic web technologies for policy management and inference control, the application of data mining technologies for intrusion and malware detection, and programming language-based approaches to mobile code certification and data confidentiality enforcement are discussed.

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Somula, Rama Subbareddy, and Sasikala R. "A Survey on Mobile Cloud Computing: Mobile Computing + Cloud Computing (MCC = MC + CC)." Scalable Computing: Practice and Experience 19, no. 4 (December 29, 2018): 309–37. http://dx.doi.org/10.12694/scpe.v19i4.1411.

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In recent years, the mobile devices become popular for communication and running advanced real time applications such as face reorganization and online games. Although, mobile devices advanced for providing significant benefits for mobile users. But still, these devices suffers with limited recourses such as computation power, battery and storage space due to the portable size. However, The Cloud Technology overcome the limitations of mobile computing with better performance and recourses. The cloud technology provides enough computing recourses to run mobile applications as storage computing power on cloud platform. Therefore, the novel technology called mobile cloud computing (MCC) is introduced by integrating two technologies (Mobile Computing, Cloud Computing) in order to overcome the limitations(such as Battery life, Storage capacity, Processing capacity) of Mobile Devices by offloading application to recourse rich Remote server. This paper presents an overview of MCC, the advantages of MCC, the related concepts and the technology beyond various offloading frameworks, the architecture of the MCC, Cloudlet technology, security and privacy issues and limitations of mobile cloud computing. Finally, we conclude with feature research directions in MCC.

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