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IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis 被引量:1
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作者 Aobing Sun Tongkai Ji +1 位作者 Qiang Yue feiya xiong 《International Journal of Communications, Network and System Sciences》 2011年第12期803-811,共9页
IaaS (Infrastructure as a Platform) public cloud is one mainstream service mode for public cloud computing. The design aim of one IaaS public cloud is to enlarge the hardware-usage of whole platform, optimize the virt... IaaS (Infrastructure as a Platform) public cloud is one mainstream service mode for public cloud computing. The design aim of one IaaS public cloud is to enlarge the hardware-usage of whole platform, optimize the virtual machine deployment and enhance the accept rate of service demand. In this paper we create one service model for IaaS public cloud, and based on the waiting-line theory to optimize the service model, the queue length and the configuration of scheduling server. And create one demand-vector based scheduling model, to filter the available host machine according to the match of demand and metadata of available resource. The scheduling model can be bonded with the virtual machine motion to reallocate the resources to guarantee the available rate of the whole platform. The feasibility of the algorithm is verified on our own IaaS public cloud computing platform. 展开更多
关键词 CLOUD COMPUTING IAAS SCHEDULING Model OPTIMIZATION ANALYSIS
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