论文部分内容阅读
为提高云计算环境下的资源利用效率,对服务器选择过程中的全局性能优化问题进行研究.首先提出一种服务器全局优化选择策略,通过引入域间流量传输惩罚系数来平衡ISP之间的传输流量和用户终端与服务器之间的网络距离(网络延迟)所占的比重.同时,提出一种新型可扩展且测量开销较少的网络距离预测算法.提出的服务器全局优化选择策略,一方面满足了用户提升服务体验的需求,实现了服务器之间的负载均衡,减少了域间传输流量,另一方面降低了服务器选择过程中的测量开销.仿真结果表明,提出的方法提高了服务器的选择效率,降低了测量开销,并且具有良好的可扩展性.
In order to improve resource utilization efficiency in cloud computing environment, the global performance optimization problem in server selection process is studied.Firstly, a server global optimization selection strategy is proposed to balance the transmission traffic between ISPs by introducing inter-domain traffic transmission penalty coefficient And the network distance (network delay) between the user terminal and the server.At the same time, a new network distance prediction algorithm is proposed, which is scalable and has less measurement overhead.The proposed server global optimization selection strategy meets the requirement of Users improve the service experience, realize load balancing among servers, reduce the inter-domain transmission traffic, and reduce the measurement overhead during server selection. The simulation results show that the proposed method improves the server selection efficiency, Reduce the measurement overhead, and have good scalability.