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International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

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An Optimization of Processor Allocation Method in Heterogeneous Multi-Cluster Computing

Savita Mahajan, Rasleen Kaur, , ,
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Abstract
Cluster computing is an innovative technology which broadens horizons in whole world business but shortcomings of cluster are becoming hindrance to opt this technology. So, frequent optimizations are required to make this technology commendable. The foremost area of concern is processor allocation, utilization rate, system performance and job scheduling in heterogeneous multi-cluster systems due to which this mechanization lacks behind. To resolve these problems we propose an enhanced approach towards processor allocation in heterogeneous multi-cluster systems which maximize the resource utilization rate, increase system performance and manage load efficiently.


Citation
Savita Mahajan,Rasleen Kaur."An Optimization of Processor Allocation Method in Heterogeneous Multi-Cluster Computing ". International Journal of Computer Engineering In Research Trends (IJCERT) ,ISSN:2349-7084 ,Vol.2, Issue 06,pp.400-402, May - 2015, URL :https://ijcert.org/ems/ijcert_papers/V2I64.pdf,


Keywords : Cluster Computing, Processor Allocation, Job Scheduling, Co-allocation, Heterogeneity.

References
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[2] C. Ernemann, V. Hamscher, R. Yahyapour, ‚Benefits of Global Grid Computing for Job Scheduling,‛ Proceedings of the Fifth IEEE/ACM International Workshop on Grid Computing (GRID’04), pp. 374-379, November 2004 
[3] D. D. Sharma, D. K. Pradhan, "Processor Allocation in Hypercube Multicomputers: Fast and Efficient Strategies for Cubic and Noncubic Allocation," IEEE Transactions on Parallel and Distributed Systems, vol. 6, no. 10, pp. 1108-1122, Oct. 1995. 
[4] J. Ramírez-Alcaraz, et al., Job allocation strategies with user run time estimates for online scheduling in hierarchical grids, Journal of Grid Computing 9 (2011) 95–116. 
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[7] L. M. Ni, S. W. Turner, B. H. C. Cheng, "Contention-Free 2D-Mesh Cluster Allocation in Hypercubes," IEEE Transactions on Computers, vol. 44, no. 8, pp. 1051-1055, Aug. 1995. 
[8] Po-Chi Shih, Kuo-Chan Huang, Che-Rung Lee, I-Hsin Chung and Yeh-Ching Chung (2013),‛TLA:Temporal look-ahead processor allocation method for heterogeneous multi-cluster systems‛, Journal of Parallel and Distributed Computing, vol. 73,pp. 1661-1672. 
[9] Po-Chi Shih, Kuo-Chan Huang, Yeh-Ching Chung, ‚Improving Processor Allocation in Heterogeneous Computing Grid through Considering Both Speed Heterogeneity and Resource Fragmentation‛ , Proceeding of 10th International symposium on pervasive Systems, Algorithms, and Networks, IEEE 2009. 
[10] Q. Xiao, An availability-aware task scheduling strategy for heterogeneous systems, IEEE Transactions on Computers 57 (2008) 188– 199. 
[11] Sid Ahmed MAKHLOUF,BelabbasYAGOUI,’’Co-allocation in Grid computing using Resources Offers and Advance Reservation Planning‛ Courrier du Savoir – N°14, November 2012, pp.73-79. 
[12] V. Hamscher, U. Schwiegelshohn, A. Streit, and R. Yahyapour, ‚Evaluation of Job-Scheduling Strategies for Grid Computing‛, Proceedings of the 7th International Conference on High Performance Computing, HiPC-2000, pp. 191-202, Bangalore, India, 2000. 
[13] Z. Weizhe, et al., Multisite co-allocation algorithms for computational grid, in: Proceedings of the 20th IEEE International Symposium on Parallel and Distributed Processing, IPDPS’06, 2006, pp. 335–335.


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DOI:10.22362/ijcert