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Power-saving in storage systems for Internet hosting services with data access prediction

机译:具有数据访问预测功能的Internet托管服务的存储系统中的节能功能

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We present a power-saving method for storage systems in Internet hosting services, particularly those providing video/photo sharing services. The key idea behind our method is to skew the workload towards a subset of disks in the storage array, thereby extending the periods in standby mode of the other disks. Our method is based on the idea behind PDC, but the main objective of this study is to investigate a method that is adaptable to both constant massive influx of data and changes in data popularity over time. Moreover, to reduce accesses to disks in standby mode, our method periodically rearranges data in the order of potential future accesses presumed to be associated with elapsed time after upload and the accesses in the past, instead of just sorting according to the latest number of accesses. This correlation is obtained by analyzing access patterns for 45,000 randomly selected public photos on Flickr. Performance is evaluated through both simulation and a prototype implementation. In the experiments, we observed that our method saved 24.0% of running time of the disks in active mode, with an overall average response time of 47.6 ms, in which 0.43% of the total accesses involved disks in standby mode.
机译:我们提出了一种用于Internet托管服务中的存储系统的节能方法,尤其是那些提供视频/照片共享服务的存储系统。我们方法背后的关键思想是将工作负载偏向存储阵列中一部分磁盘,从而延长了其他磁盘在待机模式下的周期。我们的方法基于PDC背后的思想,但本研究的主要目的是研究一种既适合数据不断涌入又适合数据随时间变化的方法。此外,为了减少在待机模式下对磁盘的访问,我们的方法会按照可能的未来访问顺序(可能与上载后的经过时间和过去的访问时间相关联)定期重新排列数据,而不仅仅是根据最新的访问次数进行排序。通过分析Flickr上45,000张随机选择的公共照片的访问模式,可以获得这种相关性。通过仿真和原型实现对性能进行评估。在实验中,我们观察到我们的方法在活动模式下节省了磁盘运行时间的24.0%,总体平均响应时间为47.6 ms,其中总访问量的0.43%在待机模式下涉及磁盘。

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