Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Economic models for allocating resources in computer systems
Market-based control
Exploiting process lifetime distributions for dynamic load balancing
ACM Transactions on Computer Systems (TOCS)
Challenger: a multi-agent system for distributed resource allocation
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Market-based resource control for mobile agents
AGENTS '98 Proceedings of the second international conference on Autonomous agents
Distributed rational decision making
Multiagent systems
Dynamic pricing by software agents
Computer Networks: The International Journal of Computer and Telecommunications Networking - electronic commerce
Economic-Based Dynamic Load Distribution in Large Workstation Networks
Euro-Par '96 Proceedings of the Second International Euro-Par Conference on Parallel Processing-Volume II
Developments from a June 1996 seminar on Online algorithms: the state of the art
Agent-based service composition through simultaneous negotiation in forward and reverse auctions
Proceedings of the 4th ACM conference on Electronic commerce
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Globally Distributed Computation over the Internet - The POPCORN Project
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
On line markets for distributed object services: the MAJIC system
USITS'01 Proceedings of the 3rd conference on USENIX Symposium on Internet Technologies and Systems - Volume 3
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One of the challenges in the design of information agent systems is how to provide flexible load balancing. In our work we aim to explore different market-based approaches to load-balancing. We give an outline of the scenario which we consider in our work. We also give a brief overview of different load balancing strategies. As a motivating example for load balancing we consider a distributed information processing application for biological data. We provide an abstraction of this system which covers its main characteristics in terms of load and profile. Next, we present the results of our first experiments where we implemented this abstraction on two platforms, RMI and Voyager, and compared their performance. We discuss the different design issues for employing a market-based load balancing policy in such a system. Finally, we draw conclusions and give the directions of our future work.