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《Computer Engineering & Software》 2018-12
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Cloud Resource Allocation Based on Distribute Package Cluster Mapping

LI You;CHEN Shi-ping;School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology;Information Office of USST, University of Shanghai for Science and Technology;  
The traditional virtual machine-centric management has serious problems in scalability and flexibility, resource allocation is often regarded as constraint optimization problem and reduced to multidimensional packing problem. As the cloud market becomes large and large, it's difficult to find optimal solution within the specific time, a resource allocation management framework based on distribute a distributed package-cluster mapping was proposed.This paper takes load balancing as the target, divides the servers into several server clusters, reduces the problem scale, and then completes the packet cluster mapping in each cluster to further reduce the problem scale. Moreover, an Simulated Annealing Algorithm was used in this framework. Experimental results showed that, compared with the tradition virtual machine centered framework based genetic algorithm, The distributed packet cluster mapping scheduling method has obvious performance advantages on the load balancing of large-scale cloud resource allocation, effectively reducing the number of clusters.
【Fund】: 国家自然科学基金项目(61472256、61170277);; 上海市一流学科建设项目(S1201YLXK);; 上海理工大学科技发展基金(16KJFZ035?2017KJFZ033);; 沪江基金(A14006)
【CateGory Index】: TP393.09
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