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首页> 外文期刊>Future generation computer systems >Making the best of a bad situation: Prioritized storage management in GEMS
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Making the best of a bad situation: Prioritized storage management in GEMS

机译：充分利用糟糕的情况：GEMS中的优先存储管理

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As distributed storage systems grow, the response time between the occurrence of a fault, detection, and repair becomes significant. Systems built on shared servers have additional complexity because of the high rate of service outages and revocation. Managing high replica counts in this environment becomes very costly in terms of the storage required and bandwidth consumption for file copies. The storage challenge for this situation can thus be phrased as an attempt to function inexpensively with respect to cost constraints such as: disk utilization, network bandwidth consumption, and server CPU time. The GEMS (Grid Enabled Molecular Simulation) storage system provides a replicated and shared workspace for large scale molecular dynamics simulations, and exemplifies the above issues. The framework offers a solution to this problem by prioritizing observed faults and repairing them in an intelligent manner. In this paper, we provide observations from the operation of GEMS and compare its error handling to that of like storage systems.
机译：随着分布式存储系统的发展，在故障发生，检测和修复之间的响应时间变得很重要。建立在共享服务器上的系统具有更高的复杂性，因为服务中断和吊销的比率很高。就所需的存储空间和文件副本的带宽消耗而言，在这种环境下管理大量副本会变得非常昂贵。因此，针对这种情况的存储挑战可以表述为试图相对于成本约束（例如磁盘利用率，网络带宽消耗和服务器CPU时间）廉价地运行。 GEMS（启用网格的分子模拟）存储系统为大规模分子动力学模拟提供了一个复制和共享的工作空间，并举例说明了上述问题。该框架通过优先考虑观察到的故障并以智能方式对其进行修复，从而为该问题提供了解决方案。在本文中，我们从GEMS的运行中提供了观察，并将其错误处理与类似存储系统的错误处理进行了比较。

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