【摘要】 与网格、集群等传统计算模式不同,云计算为用户提供了一种利用远程计算资源的实用商业模型。在不同的客户之间动态分配云资源池以获得最大收入,成为云服务提供商最为关心的问题。云计算中心需要把面向客户的服务层指标转换为面向系统的操作层指标,根据服务级别协议动态管理云计算资源。研究了基于服务级别协议的服务提供商收入最大化问题,借助排队论模型对资源分配问题进行了形式化描述,然后依据定价机制、服务请求到达率、服务率、可用资源等因素给出了资源最优分配方案。实验结果表明,该算法优于相关算法。更多还原

【Abstract】 Cloud computing is different from the traditional computing models such as grid computing and cluster computing,and provides a practical business model for customers to use remote resource.It is natural for cloud providers to maximize their revenue through allocating the pooled computing resources dynamically.It is required to transform the customer-oriented service level metrics into system-oriented operating level metrics,and control the cloud resources adaptively based on Service Level Agreement(SLA).This paper addressed the problem of maximizing the provider’s revenue through SLA-based dynamic resource allocation among the differentiated customers.We formalized the resource allocation problem with queuing theory and proposed the solutions,in which many factors such as pricing mechanisms, arrival rates,service rates and available resources are considered.The experimental results show that our algorithms outperform related work.更多还原