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Enabling Interoperability among Grid Meta-Schedulers

机译:启用网格元计划程序之间的互操作性

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摘要

The goal of Grid computing is to integrate the usage of computer resources from cooperating partners in the form of Virtual Organizations (VO). One of its key functions is to match jobs to execution resources efficiently. For interoperability between VOs, this matching operation occurs in resource brokering middleware, commonly referred to as the meta-scheduler or meta-broker. In this paper, we present an approach to a meta-scheduler architecture, combining hierarchical and peer-to-peer models for flexibility and extensibility. Interoperability is further promoted through the introduction of a set of protocols, allowing meta-schedulers to maintain sessions and exchange job and resource state using Web Services. Our architecture also incorporates a resource model that enables an efficient resource matching across multiple Virtual Organizations, especially where the compute resources and state are dynamic. Experiments demonstrate these new functional features across three distributed organizations (BSC, FIU, and IBM), that internally use different job scheduling technologies, computing infrastructure and security mechanisms. Performance evaluations through actual system measurements and simulations provide the insights on the architecture's effectiveness and scalability.
机译:网格计算的目标是以虚拟组织(VO)的形式集成合作伙伴对计算机资源的使用。其主要功能之一是有效地将作业与执行资源进行匹配。对于VO之间的互操作性,此匹配操作发生在资源代理中间件中,通常称为元调度程序或元代理。在本文中,我们提出了一种元调度程序体系结构的方法,该方法结合了层次模型和对等模型,以实现灵活性和可扩展性。通过引入一组协议,进一步促进了互操作性,该协议允许元调度程序使用Web服务维护会话并交换作业和资源状态。我们的架构还整合了一个资源模型,该模型可在多个虚拟组织之间实现高效的资源匹配,尤其是在计算资源和状态是动态的情况下。实验展示了跨三个分布式组织(BSC,FIU和IBM)的这些新功能,这些组织内部使用了不同的作业调度技术,计算基础结构和安全机制。通过实际系统测量和模拟进行的性能评估可提供有关体系结构有效性和可伸缩性的见解。

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