Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

A STOCHASTIC BREAKDOWN MODEL FOR AN UNRELIABLE WEB SERVER SYSTEM AND AN OPTIMAL ADMISSION CONTROL POLICY

Authors
Cha, Ji HwanLee, Eui Yong
Issue Date
Jun-2011
Publisher
CAMBRIDGE UNIV PRESS
Keywords
Unreliable server; breakdown rate; reliability function; efficiency; optimal admission control policy
Citation
JOURNAL OF APPLIED PROBABILITY, v.48, no.2, pp 453 - 466
Pages
14
Journal Title
JOURNAL OF APPLIED PROBABILITY
Volume
48
Number
2
Start Page
453
End Page
466
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/12567
ISSN
0021-9002
1475-6072
Abstract
Web servers have to be protected against overload since overload can lead to a server breakdown, which in turn causes high response times and low throughput. In this paper, a stochastic model for breakdowns of server systems due to overload is proposed and an admission control policy which protects Web servers by controlling the amount and rate of work entering the system is studied. Requests from the clients arrive at the server following a nonhomogeneous Poisson process and each requested job takes a random time to be completed. It is assumed that the breakdown rate of the server depends on the number of jobs which are currently being performed by the server. Based on the proposed model, the reliability function and the breakdown rate function of the server system are derived. Furthermore, the long-run expected number of jobs completed per unit time is derived as the efficiency measure, and the optimal admission control policy which maximizes the efficiency will be discussed.
Files in This Item
Go to Link
Appears in
Collections
이과대학 > 통계학과 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Altmetrics

Total Views & Downloads

BROWSE