Hierarchical resource management for enhancing performance of large-scale simulations on data centers

Zengxiang Li, Xiaorong Li, Long Wang, Wentong Cai
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引用次数: 5

Abstract

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.
提高数据中心大规模仿真性能的分层资源管理
在由大量虚拟多核计算机组成的现代数据中心上进行大规模模拟已引起人们越来越多的兴趣。但是,合并在同一台计算机中的仿真组件(Federates)可能具有不平衡的仿真工作负载。类似地,参与相同模拟执行(联邦)的计算机也可能具有不平衡的模拟工作负载。因此,联邦可能会在彼此的时间同步上浪费大量的计算机资源。为了提高仿真执行性能,本文提出了一种分层资源管理系统。联盟中的联盟成员对各自的虚拟机(vm)非常着迷,这些虚拟机被整合到一组虚拟的多核计算机上。在计算机级别,多个虚拟机根据其相应联邦的模拟工作负载共享计算机的资源。在联邦级别,迁移一些虚拟机是为了平衡工作负载。因此,计算机资源被充分利用来执行有用的模拟工作负载,避免了同步开销。通过综合仿真和真实仿真工作负载的实验,验证了分层资源管理系统显著提高了仿真性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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