首页> 外文会议>Cyber-Enabled Distributed Computing and Knowledge Discovery, 2009. CyberC '09 >An improved staged event driven architecture for Master-Worker network computing
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An improved staged event driven architecture for Master-Worker network computing

机译:用于Master-Worker网络计算的改进的分阶段事件驱动架构

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We propose a new design for Master-Worker network computing systems, called the Master-Worker event driven architecture (MEDA). MEDA is an extension of staged event driven architecture and designed for the goal to meet the dynamic demand of Master-Worker model network computing systems, with support for high concurrency, adaptive resources management and modular construction. In MEDA, applications consist of a network of event-driven stages connected by queues. MEDA makes use of a set of dynamic control mechanisms for automatic tuning and load conditioning. Queuing theory is used for thread management mechanism. Application field extends from stand-alone environment to the wide area network environment through the introduction of network queue. Delay event queue realizes the balance of performance and resource consumption. Priority queue expands the availability of job scheduling strategy and improves system efficiency. From experiments of Drug Discovery Grid, these results show that MEDA systems exhibit higher performance, better reliability than Master-Worker network computing system developed using traditional design.
机译:我们提出了一种针对Master-Worker网络计算系统的新设计,称为Master-Worker事件驱动架构(MEDA)。 MEDA是分阶段事件驱动的体系结构的扩展,旨在满足Master-Worker模型网络计算系统的动态需求,并支持高并发性,自适应资源管理和模块化构造。在MEDA中,应用程序由事件驱动的阶段网络组成,这些阶段由队列连接。 MEDA利用一套动态控制机制进行自动调整和负载调节。排队理论用于线程管理机制。通过引入网络队列,应用领域从独立环境扩展到广域网环境。延迟事件队列实现了性能和资源消耗之间的平衡。优先级队列扩展了作业调度策略的可用性,并提高了系统效率。通过药物发现网格的实验,这些结果表明,与使用传统设计开发的Master-Worker网络计算系统相比,MEDA系统具有更高的性能和更好的可靠性。

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