2008Unpublished venueRequires access

HPC virtual machine resource management

Wesley Emeneker, Amy Apon

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Abstract

Virtual machine (VM) technology applied to HPC has been shown to improve system throughput and turnaround time [2, 3]. VMs provide additional compute power to backlogged clusters by abstracting the software environment of compute resources that are available on other clusters. Borrowing and provisioning resources from other clusters requires some way to efficiently manage VMs across multiple independent hosts [4].

About this research paper

What this paper is about

Virtual machine (VM) technology applied to HPC has been shown to improve system throughput and turnaround time [2, 3]. VMs provide additional compute power to backlogged clusters by abstracting the software environment of compute resources that are available on other clusters. Borrowing and provisioning resources from other clusters requires some way to efficiently manage VMs across multiple independent hosts [4].

Why it matters

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Key contribution

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Method / approach

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Main findings

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Available abstract

Virtual machine (VM) technology applied to HPC has been shown to improve system throughput and turnaround time [2, 3]. VMs provide additional compute power to backlogged clusters by abstracting the software environment of compute resources that are available on other clusters. Borrowing and provisioning resources from other clusters requires some way to efficiently manage VMs across multiple independent hosts [4].

Key concepts: Provisioning, Virtual machine, Computer science, Virtual machining, Throughput, Distributed computing, Turnaround time, Resource management (computing)

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