Comprehensive analysis of job scheduling stategies to attain energy efficiency in hetrogenous system

Authors

  • Anil Kumar  Professor, Gurunank Dev University Amritsar, Punjab , India
  • Prabhdeep Kaur  Computer science Department Of Gurunank Dev University Amritsar, Punjab , India

Keywords:

Index Terms:- Heterogeneous, Job-scheduling, makespan, multi-cluster, environment

Abstract

Heterogeneous system is a system which consists of multiple clusters of varying environment distributed over wide areas. It is a system which enhances the availability of resources to the users if the local environment is unable to perform that particular job. Job Scheduling is the main strategy to follow to increase the performance and efficiency of a system. It can be achieved by reducing the makespan , reducing the flowtime and mainly consider to reduce the energy consumption of a system. Moreover, energy consumption relates with the load carried by nodes in a system. Balancing a load is one of the key ingredient to achieve energy efficiency. This paper discusses the various job scheduling strategies in a Heterogeneous system and their comparisons.

References

  1. Leal,"Anticipating resource saturation in Heterogeneous.", Future Generation Computer Systems, vol.45,pp. 114-122,2015.
  2. Leal,"Self-adjusting resource sharing policies in Heterogeneous.", Future Generation Computer Systems,vol. 29,pp. 488-496,2013.
  3. Ranjan et al.,"Coordinated load management in Peer-to-Peer coupled Heterogeneous systems.", J Supercomput ,vol. 61,pp.292-316, DOI 10.1007/s11227-010-0426-y,2012.
  4. Leal et al.,"Performance-based scheduling strategies for HTC applications in complex Heterogeneous.",Concurrency Computat.: Prac.Exper.2010; vol.22, pp.1416-1432 DOI:10.1002/cpe.1498.
  5. Rahman et al.,"Cooperative and Decentralized workflow scheduling in global grids",Future Generation Computer System,vol. 26 , no.5 ,pp.753-768,2010.
  6. Leal et al.,"A decentralized model for scheduling independent tasks in Heterogeneous.", Future Generation Computer Systems ,vol.25,pp. 840-852,2009.
  7. Vazquez et al.,"A performance model for Heterogeneous infrastructures",in: Proceedings of the 16th Euromicro International Conference on Parallel,Distributed and Network based processing,pp.188-192,2008.
  8. Bruin et al.,"Job submission to grid computing environments",Concurr. Comput.:Prac.Exp.20 ,vol.11,pp. 1329-1340,2008.
  9. Juhasz and Paul,"Scalability analysis of the contract net protocol", in: Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and Grid, (CCGRID 02),IEEE Computer Society,Los Alamitos,CA,USA,2008.
  10. Losup et al.,"Inter-operating grids through delegated matchmaking.", International Conference for High Performance Computing,Networking Storage and Analysis (SC07),Reno,USA,November,2007.
  11. Assuncao et al.,"InterGrid: A case for internetworking islands of grids",Concurrency and Computation: Practice and Experience(CCPE), vol. 20,pp.997-1024, 2007.
  12. Yin et al.," An improved genetic algorithm with limited iteration for grid scheduling",Proceedings of the Sixth International Conference on Grid and Cooperative Computing, GCC2007,pp.221-227 ,2007.
  13. ,"Coordinated Resource Provisioning in Heterogeneous",Thesis,Department of Computer Science and Software Engineering, The University of Melbourne,July 2007.
  14. Ranjan et al.,"Decentralised resource discovery service for large scale Heterogeneous",in: Proceedings of the Third IEEE International Conference on e-Science and Grid computing,IEEE Computer society,pp.379-387,2007.
  15. Kertesz and Kacsuk, “Grid Meta-Broker Architecture: Towards an interoperable grid resource brokering service",Proceedings of CoreGRID Workshop on Grid Middleware in Conjunction with Euro-Par 2006(Lecture Notes in Computer Science), vol. 4375, Springer: Berlin,pp.112-116, 2007.
  16. Gabaldon et al.,"Multi-criteria genetic algorithm applied to scheduling in multi-cluster environments," J.Simul, vol.9, no.4, pp. 287-295,2015.
  17. Salehi et al.," QoS and Preemption aware scheduling in federated and virtualized grid computing environments," J.Parallel Distrib. Comput.72(2012) 231-245.
  18. "GridSim Toolkit" available at http://www.cloudbus.org/gridsim/,2012.
  19. "Introduction to Grid Computing" available at http://www.gridcomputing.com
  20. "Introduction of Parallel Computing" available at https://computing.llnl.gov/tutorials/parallel_comp/.

IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2018-02-28

Issue

Volume 3, Issue 1, January-February-2018

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Anil Kumar, Prabhdeep Kaur, " Comprehensive analysis of job scheduling stategies to attain energy efficiency in hetrogenous system, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 1, pp.1258-1260, January-February-2018.