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Grid commerce, market-driven G-negotiation, and Grid resource management
1Hong Kong Baptist University, Kowloon, Hong Kong. prof_sim_2002@yahoo.com
Summary
Market-driven agents (MDAs) offer efficient solutions for Grid resource negotiation. These agents achieve higher budget efficiencies and success rates in acquiring computational resources, even under high demand.
Area of Science:
- Computer Science
- Distributed Computing
- Artificial Intelligence
Background:
- Efficient resource management is crucial for computational grids.
- Negotiation between independent grid providers and consumers is complex.
- Existing resource allocation mechanisms face challenges in dynamic environments.
Purpose of the Study:
- To evaluate market-driven agents (MDAs) as a tool for Grid resource negotiation.
- To demonstrate the effectiveness of MDAs in a simulated Grid-commerce environment.
- To compare MDA performance against other e-negotiation agents.
Main Methods:
- Development of a heterogeneous testbed simulating a Grid computing environment.
- Implementation of market-driven agents (MDAs) with flexible concession strategies.
- Comparative performance analysis of MDAs against agents like Kasbah.
Main Results:
- MDAs achieved higher budget efficiencies across various market conditions.
- MDAs demonstrated superior success rates in acquiring Grid resources under high load.
- MDAs exhibited flexibility in adjusting negotiation terms based on market pressures.
Conclusions:
- Market-driven agents are effective tools for Grid resource negotiation.
- MDAs provide a robust solution for optimizing resource allocation in computational grids.
- The findings support the adoption of agent-based negotiation for Grid-commerce.
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