Abstract
SWEB: Towards a Scalable World Wide Web Server on Multicomputers
by: Daniel Andresen, Tao Yang, Vegard Holmedahl, and Oscar H. Ibarra
Abstract:
We investigate the issues involved in developing a scalable World Wide Web(WWW) server on a cluster of workstations and parallel machines, using theHypertext Transport Protocol (HTTP). The main objective is to strengthen theprocessing capabilities of such a server by utilizing the power ofmulticomputers to match huge demands in simultaneous access requests from theInternet. We have implemented a system called SWEB on a distributed memorymachine, the Meiko CS-2, and networked SUN and DEC workstations. Thescheduling component of the system actively monitors the usages of CPU, I/Ochannels and the interconnection network to effectively distribute HTTPrequests across processing units to exploit task and I/O parallelism. Wepresent the experimental results on the performance of this system. Ourresults indicate that the system delivers good performance on multi-computersand obtains significant improvements over other approaches.
Keywords:
World Wide Web (WWW), Hypertext transport protocol (HTTP),Scheduling and load balancing, Scalability, Task and I/Oparallelism.
Date:
September 1995
Document: 1995-17
