He, Ligang, Xue, James Wenjun and Jarvis, Stephen A. (2007) Partition-based profit optimisation for multi-class requests in clusters of servers. In: IEEE International Conference on e-Business Engineering, Hong Kong, China, 24-26 Oct 2007. Published in: IEEE International Conference on e-Business Engineering, 2007. ICEBE 2007. pp. 131-138. ISBN 9780769530031. doi:10.1109/ICEBE.2007.71

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Abstract

This paper investigates profit optimisation by the partitioning of server pools. Different types of web requests are considered in this paper: best-effort requests and multi-class QoS-demanding requests. Each request is associated with a certain amount of revenue. The system earns associated revenue when completing a best effort request, while the revenue earned for serving a QoS-demanding request depends on the degree of satisfaction. The complete server pool is divided into two clusters of servers, each dedicated to serving one type of request. The total profits accrued when serving these requests are mathematically modelled in this paper The optimisation equations for the pool partitioning have also been constructed so that the maximum profit can be achieved. An optimal server switching policy is also developed The server switching policy is optimal in the sense that the maximum profit can be maintained by si,;itching servers from one partition to the other Costs involved in server switching are factored into the switching model. Supportive experimentation based on simulation have been conducted and the results verify the effectiveness of the pool partitioning policy and the server switching policy developed in this paper.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software H Social Sciences > HF Commerce T Technology > TK Electrical engineering. Electronics Nuclear engineering Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management
Divisions:	Faculty of Science > Computer Science
Series Name:	International Conference on e-Business Engineering
Journal or Publication Title:	IEEE International Conference on e-Business Engineering, 2007. ICEBE 2007.
Publisher:	IEEE
ISBN:	9780769530031
Editor:	Cheung, SC and Li, YS and Chao, KM and Younas, M and Chung, JY
Official Date:	2007
Dates:	Date Event 2007 Published
Date of first compliant deposit:	14 December 2015
Number of Pages:	8
Page Range:	pp. 131-138
DOI:	10.1109/ICEBE.2007.71
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Conference Paper Type:	Paper
Title of Event:	IEEE International Conference on e-Business Engineering
Type of Event:	Conference
Location of Event:	Hong Kong, China
Date(s) of Event:	24-26 Oct 2007
Related URLs:	Organisation

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