Annals of Computer Science and Information Systems, Volume 14

DOI: http://dx.doi.org/10.15439/2017KM33

Citation: Proceedings of the 2017 International Conference on Information Technology and Knowledge Management, Ajay Jaiswal, Vijender Kumar Solanki, Zhongyu (Joan) Lu, Nikhil Rajput (eds). ACSIS, Vol. 14, pages 101–106 (2017)

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Abstract. Fog personal computers is definitely correctly buzzword that is receiving, it provides firms zīmju base might be coming availability specialist knowledge. Impair price serve should you have of superiorities in studying to individuals system that is been known is good old, a lot like played off insightful publication, outlook rendering, better resource, indefinite scalability, incredible fault-tolerance etc that is potential. That said, considerably that may be truly hefty of retailers created with event run relayed on those as long as determining it is actually hit. Platform allotment features helping out the universal abilities of a program and parallel that is scatter a redistribution of batch among the numerous processors or nodes. This kind of succeeds that is absolutely found that is further beginnings appointment insurance protection for scald solutions.

References

1. Wu, Linlin, Saurabh Kumar Garg, and Rajkumar Buyya. "SLA-based admission control for a Software-as-a-Service provider in Cloud computing environments." Journal of Computer and System Sciences 78, no. 5 (2012): 1280-1299.
2. Hofmann, Paul, and Dan Woods. "Cloud computing: the limits of public clouds for business applications." Internet Computing, IEEE 14, no. 6 (2010): 90-93.
3. Sotomayor, Borja, Rubén S. Montero, Ignacio M. Llorente, and Ian Foster. "Virtual infrastructure management in private and hybrid clouds." Internet computing, IEEE 13, no. 5 (2009): 14-22.
4. Zhu, Yan, Huaixi Wang, Zexing Hu, Gail-Joon Ahn, Hongxin Hu, and Stephen S. Yau. "Efficient provable data possession for hybrid clouds." In Proceedings of the 17th ACM conference on Computer and communications security, pp. 756-758. ACM, 2010.
5. Hasan, Masum, Sumit A. Naiksatam, Glenn Dasmalchi, Krishna Sankar, and Vaughn Suazo. "Virtual private clouds." U.S. Patent Application 13/196,759, filed August 2, 2011.
6. Beloglazov, Anton, Jemal Abawajy, and Rajkumar Buyya. "Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing." Future generation computer systems 28, no. 5 (2012): 755-768.
7. Feller, Eugen, Louis Rilling, and Christine Morin. "Energy-aware ant colony based workload placement in clouds." In Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing, pp. 26-33. IEEE Computer Society, 2011.
8. Zhenhuan Gong, Xiaohui Gu, and John Wilkes. "Press: Predictive elastic resource scaling for cloud systems." In Network and Service Management (CNSM), 2010 International Conference on, pp. 9-16. IEEE, 2010.
9. V. Vinothina, R. Sridaran, and Padmavathi Ganapathi. "A survey on resource allocation strategies in cloud computing." International Journal of Advanced Computer Science and Applications (IJACSA) 3, no. 6 (2012).
10. M.Gokilavani, S. Selvi, and C. Udhayakumar. "A Survey on Resource Allocation and Task Scheduling Algorithms in Cloud Environment." International Journal of Engineering and Innovative Technology (IJEIT) Vol 3.
11. Lu Huang, Hai-shan Chen, and Ting-ting Hu. "Survey on Resource Allocation Policy and Job Scheduling Algorithms of Cloud Computing1." Journal of Software 8, no. 2 (2013): 480-487.
12. Priyanka Mod, and Mayank Bhatt. "A Survey on Dynamic Resource Allocation technique in cloud Environment."
13. Ms Renu Krishnan, and Ms Silja Varghese. "Survey Paper for Dynamic Resource Allocation using Migration in Cloud."
14. Stephen S. Yau, and Ho G. An. "Adaptive resource allocation for service-based systems." In Proceedings of the First Asia-Pacific Symposium on Internetware, p. 3. ACM, 2009.
15. Ye Hu, Johnny Wong, Gabriel Iszlai, and Marin Litoiu. "Resource provisioning for cloud computing." In Proceedings of the 2009 Conference of the Center or Advanced Studies on Collaborative Research, pp. 101-111. IBM Corp., 2009.
16. Zhenhuan Gong, Xiaohui Gu, and John Wilkes. "Press: Predictive elastic resource scaling for cloud systems." In Network and Service Management (CNSM), 2010 International Conference on, pp. 9-16. IEEE, 2010.
17. Sheng Di; Cho-Li Wang; Cappello, F.,"Adaptive Algorithm for Minimizing Cloud Task Length with Prediction Errors", IEEE, Cloud Computing, IEEE Transactions on, 2014
18. Tram Truong-Huu; Chen-Khong Tham,"A Novel Model for Competition and Cooperation among Cloud Providers", IEEE, Cloud Computing, IEEE Transactions on, 2014
19. Yonggang Wen; Xiaoqing Zhu; Rodrigues, J.J.P.C.; Chang Wen Chen,"Cloud Mobile Media: Reflections and Outlook", IEEE, Multimedia, IEEE Transactions on, 2014
20. Yuan Feng; Baochun Li; Bo Li,"Price Competition in an Oligopoly Market with Multiple IaaS Cloud Providers", IEEE, Computers, IEEE Transactions on, 2014
21. Zhuge Bin; Deng Li; Dai Guowei; Wan Lei; Wang Weiming; Lan Julong,"Resource scheduling algorithm and ecnomic model in ForCES networks", IEEE, Communications, China, 2014 List