An Optimization of Processor Allocation Method in Heterogeneous Multi-Cluster Computing
Main Article Content
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.
Article Details
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
IJCERT Policy:
The published work presented in this paper is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that the content of this paper can be shared, copied, and redistributed in any medium or format, as long as the original author is properly attributed. Additionally, any derivative works based on this paper must also be licensed under the same terms. This licensing agreement allows for broad dissemination and use of the work while maintaining the author's rights and recognition.
By submitting this paper to IJCERT, the author(s) agree to these licensing terms and confirm that the work is original and does not infringe on any third-party copyright or intellectual property rights.
References
A.I.D. Bucur, D.H.J. Epema, An evaluation of processor coallocation for different system configurations and job structures, in: Proceedings of the 14th Symposium on Computer Architecture and High Performance Computing, 2002, pp. 195–203
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
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.
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.
K. C. Huang and H. Y. Chang, ‚An Integrated Processor Allocation and Job Scheduling Approach to Workload Management on Computing Grid‛, Proceedings of the 2006 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'06), pp. 703-709, Las Vegas, USA, June 26-29, 2006.
K. C. Huang, P. C. Shih, Y. C. Chung, ‚Towards Feasible and Effective Load Sharing in a Heterogeneous Computational Grid‛, Proceedings of the Second International Conference on Grid and Pervasive Computing, France (2007).
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.
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.
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.
Q. Xiao, An availability-aware task scheduling strategy for heterogeneous systems, IEEE Transactions on Computers 57 (2008) 188– 199.
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.
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.
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.