基于多服务器最优配置的云计算利润最大化技术研究  

Cloud computing profit maximization based on multi-server optimal configuration

作　　者：吴丽[1] 余文春[1] 

机构地区：[1]内江师范学院计算机科学学院

出　　处：《计算机应用研究》2015年第1期194-197,201,共5页Application Research of Computers

基　　金：四川省教育厅高校创新团队项目(13TD0001)

摘　　要：研究了云计算中多服务器的配置问题，以使得利润最大化。价格模型包含了如下一些因素：服务的数量、应用环境的负荷、多服务器系统的配置、服务等级协议、用户的满意度、服务的质量、劣质服务的代价、租赁费用、能耗成本、服务提供者的利润。将多服务器系统看做是一个M／M／m排队问题，从而能够建立云计算的利润最大化问题，并且能够得到解析解。在模型中考虑了两种服务速度和．能耗模型，分别为空闲速度模型和常规速度模型。基于这种模型得到了一个新到达的服务请求等待时间的概率密度函数、服务请求的平均收费以及单位时间内的平均利润等的解析表达式。同时还得到了最优的服务规模和最优的服务速度的表达式。仿真表明了方法的有效性。This paper studied the problem of optimal multiserver configuration for profit maximization in a cloud computing en- vironment. The pricing model took such factors into considerations as the amount of a service, the workload of an application environment, the configuration of a multiserver system, the service-level agreement, the satisfaction of a consumer, the quality of a service, the penalty of a low-quality service, the cost of renting, the cost of energy consumption, and a service provider＇ s margin and profit. The approach was to treat a multiserver system as an M/M/m queuing model, such that the optimization problem can be formulated and solved analytically. It considered two server speed and power consumption models, namely, the idle-speed model and the constant-speed model. It derived the probability density function of the waiting time of a newly ar- rived service request. It calculated the expected service charge to a service request. It obtained the expected net business gain in one unit of time. Simulation demonstrates the numerical calculations of the optimal server size and the optimal server speed.

关 键 词：云计算 价格模型 排队模型 多服务器配置 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]