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Adaptive load sharing for clustered digital library servers

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6 Author(s)
Huican Zhu ; Dept. of Comput. Sci., California Univ., Santa Barbara, CA, USA ; Tao Yang ; Qi Zheng ; D. Watson
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This paper investigates load balancing strategies for clustered Alexandria digital library (ADL) servers. The ADL system, which provides on-line information searching and browsing of spatially-referenced materials through the World Wide Web, involves intensive database I/O and heterogeneous CPU activities. Clustering servers can improve the scalability of the ADL system in response to a large number of simultaneous access requests. One difficulty addressed is that clustered workstation nodes may be non-uniform in terms of CPU and I/O speeds. An optimization scheme is proposed in this paper to dynamically monitor the resource availability, use a low-cost communication strategy for updating load information among nodes, and schedule requests based on both I/O and computation load indices. Since the accurate cost estimation for processing database-searching requests is difficult, a sampling and prediction scheme is used to identify the relative efficiency of nodes for satisfying I/O and CPU demands of these requests. A set of experiments using the ADL traces have been conducted to verify the effectiveness of the proposed strategies

Published in:

High Performance Distributed Computing, 1998. Proceedings. The Seventh International Symposium on

Date of Conference:

28-31 Jul 1998