Multidimensional Resource Scheduling in Cloud Data Centers

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Abstract:

Cloud computing environment is regarded as a kind of multi-tenant computing mode. With virtulization as a support technology, cloud computing realizes the integration of multiple workloads in one server through the package and seperation of virtual machines. Aiming at the contradiction between the heterogeneous applications and uniform shared resource pool, using the idea of bin packing, the multidimensional resource scheduling problem is analyzed in this paper. We carry out some example analysis in one-dimensional resource scheduling, two-dimensional resource schduling and three-dimensional resource scheduling. The results shows that the resource utilization of cloud data centers will be improved greatly when the resource sheduling is conducted after reorganizing rationally the heterogeneous demands.

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Periodical:

Advanced Materials Research (Volumes 1008-1009)

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1513-1516

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August 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Buyya, R., Y. Chee Shin, S. Venugopal. Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities. in 10th IEEE Conference on High Performance Computing & Communications. 2008: pp.5-13.

DOI: 10.1109/hpcc.2008.172

Google Scholar

[2] Vaquero, L.M., L. Rodero-Merino, J. Caceres, et al. A break in the clouds: towards a cloud definition. SIGCOMM Computer Communication Review, 2008, 39(1): 50-55.

DOI: 10.1145/1496091.1496100

Google Scholar

[3] Anton Beloglazov, Jemal Abawajy, Rajkumar Buyya, Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing, Future Generation Computer Systems, 2012, 18(5): 755–768.

DOI: 10.1016/j.future.2011.04.017

Google Scholar

[4] L. Cherkasova, D. Gupta, and A. Vahdat, When virtual is harder than real: Resource allocation challenges in virtual machine based it environments, Technical Report HPL 2007-25, February (2007).

Google Scholar

[5] Anton Beloglazov, Rajkumar Buyya, Energy Efficient Resource Management in Virtualized Cloud Data Centers, in 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, 2010: 826-831.

DOI: 10.1109/ccgrid.2010.46

Google Scholar

[6] He dayong, Zha Jianzhong, Jiang Yidong, Research on Solution to Complex Container-Loading Problem Based on Genetic Algorithm, Journal of Software, 2001, 12(9): 1380-1385.

Google Scholar