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Scheduling and resource management using PSO in P-grid

机译:在P网格中使用PSO进行计划和资源管理

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摘要

Grid computing can integrate computational resources from different networks or regional areas into a high presentation computational platform and be used to solve complex computing-intensive problems efficiently. Scheduling problem is an important issue in a grid computing environment, because of the heterogeneity of computing resources. Efficient Resource discovery mechanism is one of the fundamental requirements for Grid computing systems, as it aids in supply management and development of applications. Resource discovery activity involves searching for the appropriate resource types that match the user's application requirements. Various kinds of solutions to grid resource discovery have been suggested, including the centralized and hierarchical information server approach. However, both of these approaches have serious limitations in regards to scalability, fault-tolerance and network congestion. To overcome these limitations, Peer-to-Peer (P2P) network model has been actively proposed in the past few years. This article investigates various decentralized resource discovery techniques primarily driven by P2P network model.
机译:网格计算可以将不同网络或区域区域的计算资源集成到高演示性计算平台中,并用于有效地解决复杂的计算密集型问题。调度问题是网格计算环境中的一个重要问题,因为计算资源的异质性。高效的资源发现机制是网格计算系统的基本要求之一,因为它有助于供应管理和应用程序的开发。资源发现活动涉及搜索与用户的应用程序要求匹配的相应资源类型。已经提出了对网格资源发现的各种解决方案,包括集中式和分层信息服务器方法。然而,这两种方法都对可扩展性,容错和网络拥塞方面具有严重限制。为了克服这些局限,在过去几年中已经积极提出了对等(P2P)网络模型。本文调查了主要由P2P网络模型驱动的各种分散资源发现技术。

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