GridBot:在多个网格中执行大量任务

M. Silberstein, A. Sharov, D. Geiger, A. Schuster
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引用次数: 58

摘要

我们提出了一种在多个网格、集群和志愿计算网格上高效执行任务包(bot)的整体方法,这些网格虚拟化为单个计算平台。挑战是双重的:组装这个复合环境,并将其用于执行面向吞吐量和性能的混合bot,每个bot有十几到数百万个任务。我们的通用机制允许每个BOT规范的动态任意调度和复制策略作为系统状态、BOT执行状态和BOT优先级的函数。我们在GridBot系统中实现了我们的机制,并在生产环境中演示了它的功能。GridBot仅在三个月内就执行了数百个bot,工作岗位超过900万个;这些已在25,000台主机上调用,其中15,000台来自Superlink@Technion社区网格,其余来自以色列理工学院校园网格、本地集群、开放科学网格、EGEE和威斯康星大学麦迪逊分校池。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
GridBot: execution of bags of tasks in multiple grids
We present a holistic approach for efficient execution of bags-of-tasks (BOTs) on multiple grids, clusters, and volunteer computing grids virtualized as a single computing platform. The challenge is twofold: to assemble this compound environment and to employ it for execution of a mixture of throughput- and performance-oriented BOTs, with a dozen to millions of tasks each. Our generic mechanism allows per BOT specification of dynamic arbitrary scheduling and replication policies as a function of the system state, BOT execution state, and BOT priority. We implement our mechanism in the GridBot system and demonstrate its capabilities in a production setup. GridBot has executed hundreds of BOTs with over 9 million jobs during three months alone; these have been invoked on 25,000 hosts, 15,000 from the Superlink@Technion community grid and the rest from the Technion campus grid, local clusters, the Open Science Grid, EGEE, and the UW Madison pool.
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