TY - JOUR
T1 - Web delay analysis and reduction by using load balancing of a DNS-based web server cluster
AU - Bai, Y. W.
AU - Wu, Y. C.
PY - 2007
Y1 - 2007
N2 - Based on our survey of recent articles, there is little research being conducted into quantitative analysis of the load balancing of Web server clusters. In this paper, we propose a quantitative analysis for DNS-based server clusters. We also propose a two-pass load-balancing method for determining the load balance area of these clusters. The first pass uses the lookup table instead of a complicated computation for obtaining the load balancing of the Web service requests. The second pass also utilizes a lookup table by a precomputed Hessian matrix to obtain the load balancing. In addition, we compare the relative performance of dispatcher-based and DNS-based server clusters using queuing theory, analysis, and simulation, and we compare the measurement results using benchmarks. To increase the simulation performance we have designed a simulation module to promptly locate the load balancing, with a potential improvement of 36.58% over the average system response time.
AB - Based on our survey of recent articles, there is little research being conducted into quantitative analysis of the load balancing of Web server clusters. In this paper, we propose a quantitative analysis for DNS-based server clusters. We also propose a two-pass load-balancing method for determining the load balance area of these clusters. The first pass uses the lookup table instead of a complicated computation for obtaining the load balancing of the Web service requests. The second pass also utilizes a lookup table by a precomputed Hessian matrix to obtain the load balancing. In addition, we compare the relative performance of dispatcher-based and DNS-based server clusters using queuing theory, analysis, and simulation, and we compare the measurement results using benchmarks. To increase the simulation performance we have designed a simulation module to promptly locate the load balancing, with a potential improvement of 36.58% over the average system response time.
KW - Load balance
KW - Measurement techniques
KW - Modelling techniques
KW - System performance
KW - System response time
KW - Web servers
UR - https://www.scopus.com/pages/publications/34247602165
U2 - 10.1080/1206212X.2007.11441835
DO - 10.1080/1206212X.2007.11441835
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AN - SCOPUS:34247602165
SN - 1206-212X
VL - 29
SP - 79
EP - 88
JO - International Journal of Computers and Applications
JF - International Journal of Computers and Applications
IS - 1
ER -