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Simulator for Priority based Scheduling of Resources in Cloud Computing

by P. K. Suri, Sunita Rani
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 146 - Number 14
Year of Publication: 2016
Authors: P. K. Suri, Sunita Rani
10.5120/ijca2016910935

P. K. Suri, Sunita Rani . Simulator for Priority based Scheduling of Resources in Cloud Computing. International Journal of Computer Applications. 146, 14 ( Jul 2016), 10-15. DOI=10.5120/ijca2016910935

@article{ 10.5120/ijca2016910935,
author = { P. K. Suri, Sunita Rani },
title = { Simulator for Priority based Scheduling of Resources in Cloud Computing },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2016 },
volume = { 146 },
number = { 14 },
month = { Jul },
year = { 2016 },
issn = { 0975-8887 },
pages = { 10-15 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume146/number14/25464-2016910935/ },
doi = { 10.5120/ijca2016910935 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:50:26.490486+05:30
%A P. K. Suri
%A Sunita Rani
%T Simulator for Priority based Scheduling of Resources in Cloud Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 146
%N 14
%P 10-15
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The resource management system is the central component of cloud computing. A resource management system matches requests to resources, schedules the matched resources, and executes the requests using scheduled resources. Resource allocation and resource scheduling is considered as very important part of resource management system. This paper discusses priority based scheduling technique on heterogeneous resources in cloud computing based upon PERT technology. This scheduling model minimizes the completion time, makespan.

References
  1. Buyya R, Yeo CS, Venugopal S, Broberg J, Brandic I. “Cloud computing and emerging IT platforms: Vision, type, and reality for delivering computing as the 5th utility”, Future Generation Computer Systems, 599–616, 2009.
  2. Mell, P. and Grance, T., “The NIST Definition of Cloud computing, National Institute of Standards and Technology”, 2009.
  3. Saurabh Kumar Garg, Rajkumar Buyya, “Green Cloud computing and Environmental Sustainability”,
  4. Mengkun Li, Ming Chen, lun Xie, “Cloud Computing: A Synthesis Models for Resource Service Management”, Second International Conference on Communication Systems, Networks and Applications, IEEE, pp. 208-211, 2010.
  5. Liu xuning, Song hongwei, He dongbin, Yang hao, “Research of Campus Resource Management Based on Cloud Computing”, The 5th International Conference on Computer Science & Education Hefei, China, pp. 1407-1409, August 24–27, 2010.
  6. Seoyoung Kim, Jung-in Koh, Yoonhee Kim, Chongam Kim, “A Science Cloud Resource Provisioning Model using Statistical Analysis of Job History”, Ninth IEEE International Conference on Dependable, Autonomic and Secure Computing, IEEE Computer Society, IEEE,pp. 792-793, 2011.
  7. Ping Guo, Ling-ling Bu, “The Hierarchical Resource Management Model Based on Cloud Computing”, IEEE Symposium on Electrical & Electronics Engineering (EEESYM), IEEE, pp. 471-474, 2012.
  8. Young Choon Lee, Riky Subrata, and Albert Y. Zomaya, “On the Performance of a Dual-Objective Optimization Model for Workflow Applications on Grid Platforms”, IEEE transactions on parallel and distributed systems, VOL. 20, NO. 9, pp. 1273-1283, SEPTEMBER 2009.
  9. Eman Elghoneimy, Othmane Bouhali, Hussein Alnuweiri,“Resource Allocation and Scheduling in Cloud Computing”, Workshop on Computing, Networking and Communications”, IEEE,pp. 309-314, 2012.
  10. P. K. Suri, Himanshi Goyal, “Stochastic Simulator for Optimal Cloud Resource Allocation in a Heterogeneous Environment”, International Journal of Computer Applications (0975 – 8887) Volume 101– No.2,pp. 9-13, September 2014.
  11. Kahina Bessai, Samir Youcef, Ammar Oulamara, Claude Godart and Selmin Nurcan, “Resources allocation and scheduling approaches for business process applications in Cloud contexts”, 4th International Conference on Cloud Computing Technology and Science, IEEE Computer Society, pp. 496-503,IEEE, 2012.
  12. Zongheng Liu, Weiqin Tong, Zhixun Gong, Jianhua Liu, Yue Hu, Shaojie Guo, “Cloud Computing Model Without Resource Management Center”, 2011 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, IEEE Computer Society, pp.442-446, IEEE, 2011.
  13. T.R. Gopalakrishnan Nair, Vaidehi M, “Efficient Resource Arbitration And Allocation Strategies In Cloud Computing Through Virtualization”,Proceedings of IEEE CCIS2011, pp.397-401, IEEE, 2011.
  14. K C Gouda, Radhika T V, Akshatha M, “Priority based resource allocation model for cloud computing”, International Journal of Science, Engineering and Technology Research (IJSETR) Volume 2, Issue 1, ISSN: 2278 – 7798, pp. 215-219, January 2013.
  15. Saeid Abrishami, Mahmoud Naghibzadeh, and Dick H.J. Epema, “Cost-Driven Scheduling of Grid Workflows Using Partial Critical Paths”,IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, VOL. 23, NO. 8, IEEE Computer Society, pp.1400-1414, AUGUST 2012.
  16. Zhi Yang, Changqin Yin, Yan Liu, “A Cost-based Resource Scheduling Paradigm in Cloud Computing”, 12th International Conference on Parallel and Distributed Computing, Applications and Technologies, IEEE Computer Society, pp.417- 422, IEEE, 2011.
  17. Chandrashekhar S. Pawar, Rajnikant B. Wagh, “Priority Based Dynamic Resource Allocation in Cloud Computing with Modified Waiting Queue”, International Conference on Intelligent Systems and Signal Processing (ISSP), pp. 311-316, IEEE, 2013.
  18. Chandrashekhar S. Pawar, Rajnikant B. Wagh, “Priority Based Dynamic resource allocation in Cloud Computing”, International Symposium on Cloud and Services Computing, IEEE Computer Society, pp. 1-6, IEEE, 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Cloud Computing resources scheduling DAG (Directed Acyclic Graph).