Optimized Scalable Scheme for Server Selections in Cloud Computing Environments

doi:10.13190/j.jbupt.2014.s1.016

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2014, Vol. 37 ›› Issue (s1): 83-86.doi: 10.13190/j.jbupt.2014.s1.016

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Optimized Scalable Scheme for Server Selections in Cloud Computing Environments

WANG Ting¹, XU Ke¹, WANG Na², SONG Jun-de¹

1. School of Computer Science, Beijing University of Posts and Telecommunications, Beijing 100876, China;
2. 96630 Unit of the Chinese People's Liberation Army, Beijing 102206, China

Received:2013-10-15 Online:2014-06-28 Published:2014-06-28
Supported by:

Abstract

Abstract:

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.

Key words: cloud computing, server selection, network distance, load balancing, measurement cost

CLC Number:

TP393.0

WANG Ting, XU Ke, WANG Na, SONG Jun-de. Optimized Scalable Scheme for Server Selections in Cloud Computing Environments[J]. JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM, 2014, 37(s1): 83-86.

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Optimized Scalable Scheme for Server Selections in Cloud Computing Environments

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