SWEB: Towards a Scalable World Wide Web Server on Multicomputers

  • Authors:
  • Daniel Andresen;Tao Yang;Vegard Holmedahl;Oscar H. Ibarra

  • Affiliations:
  • -;-;-;-

  • Venue:
  • IPPS '96 Proceedings of the 10th International Parallel Processing Symposium
  • Year:
  • 1996

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Abstract

We investigate the issues involved in developing a scalable World Wide Web (WWW) server on a cluster of workstations and parallel machines. The objective is to strengthen the processing capabilities of such a server by utilizing the power of multicomputers to match huge demands in simultaneous access requests from the Internet. We have implemented a system called SWEB on a distributed memory machine, the Meiko CS-2, and networked workstations. The scheduling component of the system actively monitors the usages of CPU, I/O channels and the interconnection network to effectively distribute HTTP requests across processing units to exploit task and I/O parallelism. We present the experimental results on the performance of this system.