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Agent-Based Resource Selection for Grid Computing

机译:基于代理的网格计算资源选择

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Agent technology is critical in providing solutions to grid computing, including resource selection. Traditionally, agent deliberation offers a deductive process whose deliberation cost is very high and also difficult to measure. We consider the use of Multi-Agent Systems (MAS) for grid selection. Within this domain timing is an important index. Once the client applies for some service, the MAS should be able to quickly make a match. Furthermore, as autonomous software entities, MAS are expected to control its own deliberation behaviors. Within this paper, we propose agent-based resource selection with an agentbased fuzzy decision-making capability that enables better deliberation control and hence provides better selection solution.
机译:代理技术对于提供网格计算解决方案(包括资源选择)至关重要。传统上,代理人审议会提供一个演绎过程,其审议成本非常高且难以衡量。我们考虑使用Multi-Agent Systems(MAS)进行网格选择。在这个域中,时间是重要的指标。客户申请某种服务后,MAS应该能够快速进行匹配。此外,作为自治软件实体,MAS有望控制其自身的审议行为。在本文中,我们提出了具有基于代理的模糊决策能力的基于代理的资源选择方法,该方法能够实现更好的审议控制,从而提供更好的选择解决方案。

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