QoSC: A QoS-Aware Storage Cloud Based on HDFS

Bowei Yang, Guang-hua Song, Yao Zheng, Yue Wu
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引用次数: 2

Abstract

Storage QoS is a key issue for a storage cloud infrastructure. This paper presents QoSC, a QoS-aware storage cloud for storing massive data over the dynamic network, based on the Hadoop distributed file system (HDFS). QoSC employs a data redundancy policy based on recovery volumes and a QoS-aware data placement strategy. We consider the QoS of a storage node as a combination of the transfer bandwidth, the availability of service, the workload (CPU utilization), and the free storage space. We have deployed QoSC on the campus network of Zhejiang University, and have conducted a group of experiments on file storage and retrieval. The experimental results show that QoSC improves the performance of file storage and retrieval and balances the workload among DataNodes, by being aware of QoS of DataNodes.
QoSC:基于HDFS的qos感知存储云
存储QoS是存储云基础设施的一个关键问题。本文提出了一种基于Hadoop分布式文件系统(HDFS)的qos感知存储云,用于在动态网络上存储海量数据。QoSC采用基于恢复卷的数据冗余策略和qos感知的数据放置策略。我们认为存储节点的QoS是传输带宽、服务可用性、工作负载(CPU利用率)和可用存储空间的组合。我们在浙江大学校园网上部署了QoSC,并进行了一组文件存储和检索实验。实验结果表明,通过感知datanode的QoS, QoSC提高了文件存储和检索的性能,平衡了datanode之间的工作负载。
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