Efficient Load Balancing Scheme using Resource Information in Web Server System 


Vol. 12,  No. 2, pp. 151-160, Apr.  2005
10.3745/KIPSTA.2005.12.2.151


PDF
  Abstract

The exponential growth of Web users requires the web servers with high expandability and reliability. It leads to the excessive transmission traffic and system overload problems. To solve these problems, cluster systems are widely studied. In conventional cluster systems, when the request size is large owing to such types as multimedia and CHI, the particular server load and response time tend to increase even if the overall loads are distributed evenly. In this paper, a cluster system is proposed where each Web server in the system gas different contents and loads are distributed efficiently using the Web server resource information such as CPU, memory and disk utilization. Web servers having different contents are mutually connected and managed with a network file system to maintain information consistency required to support resource information updates, deletions, and additions, Load unbalance among contents group owing to distribution of contents can be alleviated by reassignment of Web servers. Using a simulation method, we showed that our method shows up to 50 % about average throughput and processing time improvement comparing to systems using each LC method and RR method.

  Statistics
  Cite this article

[IEEE Style]

T. M. Chang, W. S. Myung, J. T. Han, "Efficient Load Balancing Scheme using Resource Information in Web Server System," The KIPS Transactions:PartA, vol. 12, no. 2, pp. 151-160, 2005. DOI: 10.3745/KIPSTA.2005.12.2.151.

[ACM Style]

Tae Mu Chang, Won Shig Myung, and Jun Tak Han. 2005. Efficient Load Balancing Scheme using Resource Information in Web Server System. The KIPS Transactions:PartA, 12, 2, (2005), 151-160. DOI: 10.3745/KIPSTA.2005.12.2.151.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals