Title :
SWEB: towards a scalable World Wide Web server on multicomputers
Author :
Andresen, Daniel ; Yang, Tao ; Holmedahl, Vegard ; Ibarra, Oscar H.
Author_Institution :
Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA
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
Keywords :
Internet; distributed memory systems; file servers; local area networks; parallel machines; scheduling; software performance evaluation; system monitoring; CPU usage; HTTP; Internet; Meiko CS-2; SWEB; distributed memory machine; multicomputers; multiprocessor interconnection network; parallel machines; performance; scalable World Wide Web server; scheduling; simultaneous access requests; system monitor; workstation cluster; Central Processing Unit; Computer science; Internet; Multiprocessor interconnection networks; Network servers; Parallel machines; Software libraries; Web server; Web sites; Workstations; World Wide Web;
Conference_Titel :
Parallel Processing Symposium, 1996., Proceedings of IPPS '96, The 10th International
Conference_Location :
Honolulu, HI
Print_ISBN :
0-8186-7255-2
DOI :
10.1109/IPPS.1996.508191
