Improving web server performance by a clustering-based dynamic load balancing algorithm

Lai Kuen Ho; Hau Yee Sit; Kei Shiu Ho; Hong Va Leong; Wing Pong Robert Luk

Improving web server performance by a clustering-based dynamic load balancing algorithm

Lai Kuen Ho, Hau Yee Sit, Kei Shiu Ho, Hong Va Leong, Wing Pong Robert Luk

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

6 Citations (Scopus)

Abstract

In this paper, a load balancing scheme is presented which allows HTTP requests to be dynamically migrated between clustered back-end web servers based on the loading condition of the system. We adopt a nearest neighborhood clustering algorithm whereby an adaptive number of requests are migrated as determined by the real-time distribution of load among the servers. Experiment results demonstrate that our proposed algorithm yields the best performance when compared with several other common approaches.

Original language	English
Title of host publication	Proceedings - 18th International conference on Advanced Information Networking and Applications, AINA 2004 Volume 2 (Regional Papers)
Pages	232-235
Number of pages	4
Volume	2
Publication status	Published - 7 Jul 2004
Event	Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 - Fukuoka, Japan Duration: 29 Mar 2004 → 31 Mar 2004

Conference

Conference	Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004
Country/Territory	Japan
City	Fukuoka
Period	29/03/04 → 31/03/04

ASJC Scopus subject areas

General Engineering

Cite this

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title = "Improving web server performance by a clustering-based dynamic load balancing algorithm",

abstract = "In this paper, a load balancing scheme is presented which allows HTTP requests to be dynamically migrated between clustered back-end web servers based on the loading condition of the system. We adopt a nearest neighborhood clustering algorithm whereby an adaptive number of requests are migrated as determined by the real-time distribution of load among the servers. Experiment results demonstrate that our proposed algorithm yields the best performance when compared with several other common approaches.",

author = "Ho, {Lai Kuen} and Sit, {Hau Yee} and Ho, {Kei Shiu} and Leong, {Hong Va} and Luk, {Wing Pong Robert}",

year = "2004",

month = jul,

day = "7",

language = "English",

isbn = "0769520510",

volume = "2",

pages = "232--235",

booktitle = "Proceedings - 18th International conference on Advanced Information Networking and Applications, AINA 2004 Volume 2 (Regional Papers)",

note = "Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004 ; Conference date: 29-03-2004 Through 31-03-2004",

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Ho, LK, Sit, HY, Ho, KS, Leong, HV & Luk, WPR 2004, Improving web server performance by a clustering-based dynamic load balancing algorithm. in Proceedings - 18th International conference on Advanced Information Networking and Applications, AINA 2004 Volume 2 (Regional Papers). vol. 2, pp. 232-235, Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004, Fukuoka, Japan, 29/03/04.

Improving web server performance by a clustering-based dynamic load balancing algorithm. / Ho, Lai Kuen; Sit, Hau Yee; Ho, Kei Shiu et al.
Proceedings - 18th International conference on Advanced Information Networking and Applications, AINA 2004 Volume 2 (Regional Papers). Vol. 2 2004. p. 232-235.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

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AU - Ho, Kei Shiu

AU - Leong, Hong Va

AU - Luk, Wing Pong Robert

PY - 2004/7/7

Y1 - 2004/7/7

N2 - In this paper, a load balancing scheme is presented which allows HTTP requests to be dynamically migrated between clustered back-end web servers based on the loading condition of the system. We adopt a nearest neighborhood clustering algorithm whereby an adaptive number of requests are migrated as determined by the real-time distribution of load among the servers. Experiment results demonstrate that our proposed algorithm yields the best performance when compared with several other common approaches.

AB - In this paper, a load balancing scheme is presented which allows HTTP requests to be dynamically migrated between clustered back-end web servers based on the loading condition of the system. We adopt a nearest neighborhood clustering algorithm whereby an adaptive number of requests are migrated as determined by the real-time distribution of load among the servers. Experiment results demonstrate that our proposed algorithm yields the best performance when compared with several other common approaches.

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M3 - Conference article published in proceeding or book

SN - 0769520510

VL - 2

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EP - 235

BT - Proceedings - 18th International conference on Advanced Information Networking and Applications, AINA 2004 Volume 2 (Regional Papers)

T2 - Proceedings - 18th International Conference on Advanced Information Networking and Applications, AINA 2004

Y2 - 29 March 2004 through 31 March 2004

ER -

Improving web server performance by a clustering-based dynamic load balancing algorithm

Abstract

Conference

ASJC Scopus subject areas

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