IaaS Public Cloud Computing Platform Scheduling Model and Optimization Analysis

• 作者: Aobing Sun Feiya Xiong Qiang Yue Tongkai Ji
• 来源期刊: 通讯、网络与系统学国际期刊(英文)
• 学科: 工学
• 关键词: CLOUD COMPUTING IAAS SCHEDULING Model OPTIMIZATION ANALYSIS
• 年，卷（期）: 2011,（12）
• 页码范围: 803-811
• 页数: 9页
• 分类号: TP3

摘要

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.