多实例云计算资源市场下超额预订决策方法  

Overbooking decision-making method of multiple instances under cloud computing resource market

作　　者：陈冬林[1] 姚梦迪[1] 邓国华[1,2] 

机构地区：[1]武汉理工大学电子商务与智能服务研究中心,武汉430070 [2]江汉大学商学院,武汉430056

出　　处：《计算机应用》2016年第1期113-116,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(71172043);教育部回国留学人员科研启动基金资助项目(2013-693);武汉理工大学研究生自由探索项目(2015-zy-126)~~

摘　　要：针对现有云供应商数据中心负载率低、云用户需求不确定及多样性的问题,为提高云供应商平均利润,建立了不确定需求下的多实例类型云服务超额预订模型。该模型结合实际云计算资源市场下超额预订对于云供应商负载均衡及云服务等级协议(SLA)的影响,给出超额预订的多重约束条件,提出了各实例类型数量最优分配策略。实验结果表明,采用该模型在预约未使用概率为0.25时,云供应商利润较高,数据中心负载率达到78%,最终确定了各实例类型的最优分配数量。Considering the problems of low load rate of data centers in cloud providers, uncertainty and variety of cloud user demand; in order to improve the average profit of the cloud providers, an overbooking model of multiple instances under uncertain demand was established. The proposed model combined the influences of overbooking for cloud data center load balancing and Service Level Agreement（ SLA） under the actual cloud computing resource market, multi-constraint of overbooking was provided, then the optimal allocation policy of each instance type was put forward. The simulation results show that when the unused rate of reservation is 0. 25, the average profit is relatively high, the load rate of data center is78%, finally the optimal allocation of each instance type is determined.

关 键 词：不确定需求 云计算资源市场 多实例 超额预订 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]