Monitoring and Resource Management in P2P Grid-Based Web Services

D. Laouni, Mekki Rachida
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Abstract

Grid computing has recently emerged as a response to the growing demand for resources (processing power, storage, etc.) exhibited by scientific applications. However, as grid sizes increase, the need for self-organization and dynamic reconfigurations is becoming more and more important. Since such properties are exhibited by P2P systems, the convergence of grid computing and P2P computing seems natural. However, using P2P systems (usually running on the Internet) on a grid infrastructure (generally available as a federation of SAN-based clusters interconnected by high-bandwidth WANs) may raise the issue of the adequacy of the P2P communication mechanisms. Among the interesting properties of P2P systems is the  volatility of  peers  which  causes  the  need  for  integration  of  a  service fault tolerance. And service Load balancing,   As a solution, we proposed a mechanism of fault tolerance and model of Load balancing  adapted to a grid P2P model, named SGRTE (Monitoring and Resource Management, Fault Tolerances and Load Balancing).
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基于P2P网格的Web服务监控与资源管理
网格计算最近作为对科学应用中对资源(处理能力、存储等)日益增长的需求的响应而出现。然而,随着网格规模的增加,对自组织和动态重构的需求变得越来越重要。由于P2P系统具有这些特性,网格计算和P2P计算的融合似乎是自然的。然而,在网格基础设施上使用P2P系统(通常在Internet上运行)(通常作为由高带宽广域网连接的基于san的集群的联盟可用)可能会引起P2P通信机制充分性的问题。P2P系统有趣的特性之一是节点的波动性,这导致需要集成服务容错功能。作为解决方案,我们提出了一种适用于网格P2P模型的容错机制和负载均衡模型,命名为SGRTE (Monitoring And Resource Management, fault tolerance And Load balancing)。
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