Research on Novel Effective Resource Management in Cloud Computing

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Cloud computing has been extensively focused by both industry and academia. Resource management and scheduling is a basic and important problem in cloud computing environment. This paper proposes a new and effective cloud resource management model and scheduling algorithm based on fuzzy clustering and Distributed hash Table. By introducing effective theory and technology, the proposed approach can: (1) subtly assign the appropriate resources to the requestors that exactly satisfy its’ needs of resources, while effectively avoid unreasonable scheduling of resources; (2) rapidly and effectively locate the resources that literally satisfy the needs of the resource requestor. Simulation experiments show that the proposed approach works better than similar algorithms.

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2077-2080

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January 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] The NIST Definition of Cloud Computing, on http: /csrc. nist. gov/publications/nistpubs/800- 145/SP800-145. pdf, accessed November (2012).

Google Scholar

[2] Yazir Yagiz Onat, Matthews Chris, Farahbod Roozbeh, Neville Stephen, Guitouni Adel, Ganti Sudhakar, Coady Yvonne, Dynamic resource allocation in computing clouds using distributed Multiple Criteria Decision Analysis, in: Proc. 2010 IEEE 3rd International Conference on Cloud Computing (CLOUD 2010), Miami, United states, July 5-10, 2010, pp.91-98.

DOI: 10.1109/cloud.2010.66

Google Scholar

[3] Tai Jianzhe, Zhang Juemin, Li Jun, Meleis Waleed, Mi Ningfang, ARA: Adaptive resource allocation for cloud computing environments under bursty workloads, in Proc. 2011 30th IEEE International Performance Computing and Communications Conference (IPCCC 2011), Orlando, United states, November 17-19, 2011, pp.187-194.

DOI: 10.1109/pccc.2011.6108060

Google Scholar

[4] Zadeh L.A., Fuzzy sets, Information and control. Vol. 8 (1965) pp.338-353.

Google Scholar

[5] Ribe-Baumann Liz, Combining resource and location awareness in DHTs, Lecture Notes in Computer Science, vol. 7044 (2011), pp.385-402.

DOI: 10.1007/978-3-642-25109-2_25

Google Scholar

[6] CloudSim on http: / http: /code. google. com/p/cloudsim.

Google Scholar