Spawn: A Distributed Computational Economy
IEEE Transactions on Software Engineering
Adaptive agents in a persistent shout double auction
Proceedings of the first international conference on Information and computation economies
Flexible double auctions for electionic commerce: theory and implementation
Decision Support Systems - Special issue on economics of electronic commerce
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
JaWS: An Open Market-Based Framework for Distributed Computing over the Internet
GRID '00 Proceedings of the First IEEE/ACM International Workshop on Grid Computing
G-commerce: Market Formulations Controlling Resource Allocation on the Computational Grid
IPDPS '01 Proceedings of the 15th International Parallel & Distributed Processing Symposium
Globally Distributed Computation over the Internet - The POPCORN Project
ICDCS '98 Proceedings of the The 18th International Conference on Distributed Computing Systems
Lottery scheduling: flexible proportional-share resource management
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
Self-Organizing Dynamic Ad Hoc Grids
SASOW '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
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In this paper, we propose a dynamic pricing strategy which is used for a market-based resource allocation mechanism in a local Grid. We implement an agent based Grid economy in which the decision-making process regarding task and resource allocation is distributed across all users and resource owners. A Continuous Double Auction is used as the platform for matchmaking where consumers and producers meet. In this paper, we analyze the parameter regime of this pricing mechanism considering different network conditions. Our experiments described in the paper show that using the pricing parameters, the consumers and producers agents can decide the price to influence the way they contribute resources to the Grid or complete the jobs for which they need resources. These agents are individually capable of changing the degree of their task usage and resource contribution to the Grid.