%0 Journal Article
%A SONG Jun-de
%A WANG Na
%A WANG Ting
%A XU Ke
%T Optimized Scalable Scheme for Server Selections in Cloud Computing Environments
%D 2014
%R 10.13190/j.jbupt.2014.s1.016
%J Journal of Beijing University of Posts and Telecommunications
%P 83-86
%V 37
%N s1
%X <p>In order to enhance the efficiency of resource utilization in cloud computing environment, the problem of optimizing the server selection process in a global view is focus on. A global optimized server selection scheme is proposed. A new parameter is introduced in terms of inter-domain transit traffic penalty coefficient to balance the proportion of data transmission between different internet service providers(ISPs) and network distance as well as between terminal and server. A scalable network distance prediction algorithm is given to reduce the cost for measuring network distance. The proposed scheme satisfies the needs of the users to improve the service experience, implements the load balance between servers and reduces the inter-domain transmission. On the other hand, the measurement cost is reduced in the process of server selections. Simulations show that the proposal improves the efficiency of the server selection, reduces the measurement cost and is with good scalability.</p>
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2014.s1.016