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IEEE Transactions on Software Engineering
Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
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Proceedings of the third annual conference on Autonomous Agents
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Multiagent systems
On the Effectiveness of Different Diffusive Load Balancing Policies in Dynamic Applications
HPCN Europe 1998 Proceedings of the International Conference and Exhibition on High-Performance Computing and Networking
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Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
TRAVELER: A Mobile Agent Based Infrastructure for Wide Area Parallel Computing
ASAMA '99 Proceedings of the First International Symposium on Agent Systems and Applications Third International Symposium on Mobile Agents
How to Improve Local Load Balancing Policies by Distorting Load Information
HIPC '98 Proceedings of the Fifth International Conference on High Performance Computing
Load Management with Mobile Agents
EUROMICRO '98 Proceedings of the 24th Conference on EUROMICRO - Volume 2
Combining state and model-based approaches for mobile agent load balancing
Proceedings of the 2003 ACM symposium on Applied computing
Performance-Sensitive Service Provision in Active Digital Libraries
EEE '05 Proceedings of the 2005 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'05) on e-Technology, e-Commerce and e-Service
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ALA'09 Proceedings of the Second international conference on Adaptive and Learning Agents
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Digital Libraries (DLs) provide an important application area for deploying mobile agents, and with the increase in content being made available within such libraries, performance concerns are becoming significant. Current DLs often involve content servers which are geographically distributed, often necessitating information from these servers to be aggregated to answer a single query. Encoding a query as a mobile agent provides a useful means to implement such queries. However, a significant concern when this approach is adopted is the need to load balance multiple sets of such agents across the available servers. This paper focuses on an attempt to answer which load balancing scheme should be applied to an agent-based DL. A demonstration of a load balancing scheme based on the guidelines proposed in this paper with reference to Synthetic Aperture Radar Atlas (SARA) DL, consisting of multi-spectral images of the Earth, is presented. This particular DL involves processing image content, but also involves aggregation of data acquired from the images with text-based content available elsewhere.