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首页> 外文期刊>Proceedings of the Workshop on Principles of Advanced and Distributed Simulation >Hierarchical Resource Management for Enhancing Performance of Large-scale Simulations on Data Centers
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Hierarchical Resource Management for Enhancing Performance of Large-scale Simulations on Data Centers

机译:分层资源管理,可提高数据中心大规模仿真的性能

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More and more interests have been shown to move large-scale simulations on modern data centers composed of a large number of virtualized multi-core computers. However, the simulation components (Federates) consolidated in the same computer may have imbalanced simulation workloads. Similarly, the computers involved in the same simulation execution (Federation) may also have imbalanced simulation workloads. Hence, federates may waste a lot of computer resources on time synchronization with each other. In this paper, a hierarchical resource management system is proposed to enhance simulation execution performance. Federates in the federation are enraptured in their individual Virtual Machines (VMs), which are consolidated on a group of virtualized multi-core computers. On the computer level, multiple VMs share the resource of the computer according to the simulation workloads of their corresponding federates. On the federation level, some VMs are migrated for workload balance purpose. Therefore, computer resources are fully utilized to conduct useful simulation workloads, avoiding the synchronization overheads. Experiments using synthetic and real simulation workloads have verified that the hierarchical resource management system enhances simulation performance significantly.
机译:越来越多的兴趣表明,在由大量虚拟化多核计算机组成的现代数据中心上进行大规模仿真。但是,合并在同一台计算机中的模拟组件(联邦)可能具有不平衡的模拟工作负载。同样,参与相同模拟执行(联合身份验证)的计算机也可能具有不平衡的模拟工作负载。因此,联盟可能在彼此时间同步上浪费大量计算机资源。本文提出了一种分层资源管理系统,以提高仿真执行性能。联盟中的联盟被封装在各自的虚拟机(VM)中,这些虚拟机被合并到一组虚拟化的多核计算机上。在计算机级别,多个VM根据其对应的联盟的模拟工作负载共享计算机的资源。在联合级别上,出于工作负载平衡目的迁移了一些VM。因此,计算机资源被充分利用来进行有用的仿真工作,避免了同步开销。使用合成和实际仿真工作负载的实验已证明,分层资源管理系统显着提高了仿真性能。

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