Power-saving in storage systems for Internet hosting services with data access prediction
Power-saving in storage systems for Internet hosting services with data access prediction
复制标题
通过数据访问预测实现互联网托管服务存储系统的节能
DOI：
10.1109/igcc.2013.6604522
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
Kazuhiko Kato
中科院分区：
文献类型：
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作者：
Jumpei Okoshi;Koji Hasebe;Kazuhiko Kato
我们提出了一种用于互联网托管服务的存储系统的节能方法，特别是那些提供视频/照片共享服务的存储系统。我们的方法背后的关键思想是将工作负载倾斜到存储阵列中的磁盘子集，从而延长其他磁盘处于备用模式的时间。我们的方法是基于PDC背后的思想，但本研究的主要目的是研究一种既能适应持续大量涌入的数据，又能适应数据流行度随时间变化的方法。此外，为了减少在待机模式下对磁盘的访问，我们的方法定期按照可能的未来访问顺序重新排列数据，这些访问顺序假定与上传后的运行时间和过去的访问相关，而不是仅仅根据最近的访问次数进行排序。这种相关性是通过分析Flickr上45,000张随机选择的公开照片的访问模式获得的。通过仿真和原型实现来评估性能。在实验中，我们观察到我们的方法在活动模式下节省了24.0%的磁盘运行时间，总体平均响应时间为47.6 ms，其中0.43%的总访问涉及待机模式下的磁盘。
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.
用于互联网托管服务平台的功率感知自治分布式存储系统
DOI：
--
发表时间：
2013
期刊：
Proceedings of the 3rd International Conference on Cloud Computing
影响因子：
--
作者：
Jumpei Okoshi;Koji Hasebe;and Kazuhiko Kato
通讯作者：
and Kazuhiko Kato