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A Dynamic Co-allocation Service in Multicluster Systems

机译:多集群系统中的动态协同分配服务

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In multicluster systems, and more generally in grids, jobs may require co-allocation, i.e., the simultaneous allocation of resources such as processors in multiple clusters to improve their performance. In previous work, we have studied processor co-allocation through simulations. Here, we extend this work with the design and implementation of a dynamic processor co-allocation service in multicluster systems. While an implementation of basic co-allocation mechanisms has existed for some years in the form of the DUROC component of the Globus Toolkit, DUROC does not provide resource-brokering functionality or fault tolerance in the face of job submission or completion failures. Our design adds these two elements in the form of a software layer on top of DUROC. We have performed experiments that show that our co-allocation service works reliably.
机译:在多集群系统中,更通常在网格中,作业可能需要共同分配,即在多个集群中同时分配资源(例如处理器)以提高其性能。在以前的工作中,我们通过仿真研究了处理器的协同分配。在这里,我们通过在多集群系统中设计和实现动态处理器协同分配服务来扩展这项工作。尽管基本的共同分配机制已经以Globus Toolkit的DUROC组件的形式存在了很多年,但是DUROC在提交作业或完成失败时不提供资源经纪功能或容错能力。我们的设计以DUROC之上的软件层的形式添加了这两个元素。我们进行的实验表明,我们的共同分配服务可以可靠地运行。

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