A Study of Distributed Computing and Performance Analysis Using Cloud and Grid Computing
Keywords:
Grid Computing, Cluster Computing, Cloud Computing, High Performance Computing, Distributed ComputingAbstract
To build the productivity of any undertaking, we require a framework that would give high performance along adaptabilities and cost efficiencies for client. Distributed computing, as we are all mindful, has turned out to be extremely prevalent over the previous decade. Distributed computing has three noteworthy sorts, in particular, cluster, grid and cloud. Keeping in mind the end goal to build up a high performance distributed framework, we have to use all the previously mentioned three sorts of computing. In this manuscript, we should first have a presentation of all the three sorts of distributed computing. In this manner analyzing them we should investigate inclines in computing and green supportable computing to upgrade the performance of a distributed framework. At last introducing the future degree, we close the manuscript proposing a way to accomplish a Green high performance distributed framework utilizing cluster, grid and cloud computing.
References
G.Massari, M.Zanella, W.Fornaciari, “Towards Distributed Mobile Computing”, 2016 Mobile System Technologies Workshop (MST), Pages.29 – 35, 2016.
Lalit M.Patnaik, Kailasam Viswanathan Iyer, “Load-leveling in fault-tolerant distributed computing systems”, IEEE Trans.on Software Engineering, Vol.SE-12, Issue.4, Pages.554 – 560, April 1986.
Ofer Shayevitz, “Distributed Computing and the Graph Entropy Region”, IEEE Trans.on Information Theory, Vol.60, Issue.6, Pages.3435 – 3449, June 2014.
Robert J.Calin-Jageman, Paul S.Katz, “A Distributed Computing Tool for Generating Neural Simulation Databases”, Neural Computation, Vol.18, Issue.12, Pages.2923 – 2927, Dec.2006.
Aziz Mohaisen, Huy Tran, Abhishek Chandra, Yongdae Kim, “Trustworthy Distributed Computing on Social Networks”, IEEE Trans.on Services Computing, Vol.7, Issue.3, Pages.333 – 345, Sep 2014.
Zijian Cao, Jin Lin, Can Wan, Yonghua Song, Yi Zhang, Xiaohui Wang, “Optimal Cloud Computing Resource Allocation for Demand Side Management in Smart Grid”, IEEE Trans.on Smart Grid, Vol.8, Issue.4, Pages.1943 – 1955, 2017.
Zizhong Cao, Shivendra S.Panwar, Murali Kodialam, T.V.Lakshman, “Enhancing Mobile Networks With Software Defined Networking and Cloud Computing”, IEEE/ACM Transactions on Networking, Volume.25, Issue.3, Pages.1431 – 1444, 2015
Justin Riley, John Noss, Wes Dillingham, James Cuff, Ignacio M.Llorente, “A High-Availability Cloud for Research Computing”, Computer, Volume.50, Issue.6, Pages.92 – 95, 2017.
Karim Djemame, Django Armstrong, Jordi Guitart, Mario Macias, “A Risk Assessment Framework for Cloud Computing”, IEEE Trans. on Cloud Computing, Volume.4, Issue.3, Pages.265 – 278, 2016.
Jinbo Xiong, Ximeng Liu, Zhiqiang Yao, Jianfeng Ma, Qi Li, Kui Geng, Patrick S.Chen, “A Secure Data Self-Destructing Scheme in Cloud Computing”, IEEE Trans. on Cloud Computing, Volume.2, Issue.4, Pages.448 – 458, 2014.
Sebastián García-Galán, Rocío P.Prado, José Enrique Muñoz Expósito, “Swarm Fuzzy Systems.Knowledge Acquisition in Fuzzy Systems and Its Applications in Grid Computing”, IEEE Trans. on Knowledge and Data Engineering, Volume.26, Issue.7, Pages.1791 – 1804, 2014.
Chris Develder, Marc De Leenheer, Bart Dhoedt, Mario Pickavet, Didier Colle, Filip De Turck, Piet Demeester, “Optical Networks for Grid and Cloud Computing Applications”, Proceedings of the IEEE, Volume.100, Issue.5, Pages.1149 – 1167, 2012.
Jang Uk In, Soocheol Lee, Seungmin Rho, Jong Hyuk Park, “Policy-Based Scheduling and Resource Allocation for Multimedia Communication on Grid Computing Environment” IEEE Systems Journal, Volume.5, Issue.4, Pages.451 – 459, 2011.
Alexandru Iosup, Dick Epema, “Grid Computing Workloads”, IEEE Internet Computing, Volume.15, Issue.2, Pages.19 – 26, 2011.
Shaghahyegh Sharif, Paul Watson, Javid Taheri, Surya Nepal, Albert Y.Zomaya, “Privacy-Aware Scheduling SaaS in High Performance Computing Environments”, IEEE Trans. on Parallel and Distributed Systems, Volume.28, Issue.4, Pages.1176 – 1188. 2017.
Ke Wang, Abhishek Kulkarni, Michael Lang, Dorian Arnold, Ioan Raicu, “Exploring the Design Tradeoffs for Extreme-Scale High-Performance Computing System Software”, IEEE Trans. on Parallel and Distributed Systems, Volume.27, Issue.4, Pages.1070 – 1084, 2016.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
