Title :
ADAPTLOAD: effective balancing in clustered web servers under transient load conditions
Author :
Riska, Alma ; Sun, Wei ; Smirni, Evgenia ; Ciardo, Gianfranco
Author_Institution :
Dept. of Comput. Sci., Coll. of William & Mary, Williamsburg, VA, USA
Abstract :
We focus on adaptive policies for load balancing in clustered web servers, based on the size distribution of the requested documents. The proposed scheduling policy, ADAPTLOAD, adapts its balancing parameters on-the-fly, according to changes in the behavior of the customer population such as fluctuations in the intensity of arrivals or document popularity. Detailed performance comparisons via simulation using traces from the 1998 World Cup show that ADAPTLOAD is robust as it consistently outperforms traditional load balancing policies, especially under conditions of transient overload.
Keywords :
Internet; client-server systems; resource allocation; workstation clusters; ADAPTLOAD; Internet; adaptive policy; clustered web servers; load balancing; load sharing; scheduling policy; transient overload; Computer science; Educational institutions; Exponential distribution; Fluctuations; Load management; Processor scheduling; Robustness; Scalability; Sun; Web server;
Conference_Titel :
Distributed Computing Systems, 2002. Proceedings. 22nd International Conference on
Print_ISBN :
0-7695-1585-1
DOI :
10.1109/ICDCS.2002.1022247