Resource Scheduling Method Based on the Tenants' Requirements of QoS

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Abstract:

Multi-tenancy technology in SaaS (Software as a Service), the basis of the shared resources on how to meet quality of service requirements of different tenants, is a major problem faced by the resource scheduling. Solve the problem, proposed a resource scheduling method based on the tenants' requirements of QoS: resources classified by types of resources QoS value of the keywords the two indexes to the formation of the three resource pool structure, in order to improve the speed of resource scheduling; division of tenants rating to determine the order of execution of the request, types of resources required, the division of tenants request for the sub-request, according to the sub-requested quality of service levels ,respectively, using different resource scheduling strategy, the isolation of different quality of service requirements of tenants. The experiments show that the method can achieve the tenants' quality of service requirements, and has a higher efficiency.

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Periodical:

Advanced Materials Research (Volumes 546-547)

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1158-1163

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Online since:

July 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lin Hailue, Han Yanbo , The key issues of performance management for multi-tenant application, J. Journal of Computers, 2010, 33 (10): 1881-1895.

Google Scholar

[2] Cheng Xu, SLA-based SaaS application performance management mechanism, D. Shandong: Shandong University Graduate School of 2010. 4.

Google Scholar

[3] XUE LIN SHI, YING ZHAO, Dynamic Resource Scheduling and Workflow Management in Cloud Computing, C. Beijing: LNCS 6724, p.440–448, (2011).

Google Scholar

[4] Liuwan Jun, Zhang Menghua, Guo Yue, Based on cloud computing resource scheduling strategy of the MPSO algorithm, J. Computer Engineering, 2011, 37 (11): 43, 44, 48.

Google Scholar

[5] Song Kunfang, Cloud computing resource scheduling strategy based on ant colony algorithm, D. Wuhan: Graduate School of Wuhan Textile University, 2011. 6.

Google Scholar

[6] Han Shun, Based on virtualization technology, multi-tenant application performance isolation algorithm, D. Shandong: Shandong University Graduate School, 2010. 4.

Google Scholar

[7] Cui Yunfei, Wang Shuai, Li Yi, et al, Multi-level hierarchical control structure of the cloud computing-based resource management, J. Equipment Command & Technology 2010, 21 (2) : 117-122.

Google Scholar

[8] Rodrigo N. Calheiros,Rajiv Ranjan,Cesar A. F. De Rose etc.CloudSim:A Novel Framework for Modeling and Simulation of Cloud Computing Infrastructures and Services.http: /www. gridbus. org/reports/CloudSim-ICPP2009. pdf.

Google Scholar