Enhancing the Performance of an Autonomous Distributed Storage System in a Large-Scale Network

Enhancing the Performance of an Autonomous Distributed Storage System in a Large-Scale Network
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增强大规模网络中自治分布式存储系统的性能

DOI:
10.1109/snpd-summer57817.2022.00023
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发表时间:
2022
期刊:
Proceedings of the 23rd International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing
影响因子:
--
通讯作者:
Hirata Hiroaki
Hirata Hiroaki
中科院分区:
--
文献类型:
--
作者:
Nunome Atsushi;Hirata Hiroaki

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我们正在开发一种自治分布式存储系统,可以根据数据块的利用率和存储的有效性能自动重新定位数据块。本文对分布式存储系统进行了改进,以解决多个网络节点连接到多个网络交换机的大型网络环境。在该方法中,评估网络帧在网络上传播时的延迟时间以及存储的有效性能,并以此来确定数据块的目的地。仿真评估结果表明,在多个网络交换机级联且存储I/O负载较高的网络中,该方法的性能提升幅度明显大于前一种方法。这表明,即使在大型网络环境下,我们的存储系统也可以提供足够的性能提升。
We are developing an autonomous distributed storage system that autonomously relocates data blocks according to their utilization and the effective performance of storage. This paper proposes an enhancement to the distributed storage system to address large network environments where many network nodes are connected to multiple network switches. In the proposed method, the latency time when a network frame travels on the network is evaluated together with the effective performance of the storage, and this is used to determine the destination of the data block. Simulation evaluation results show that in the networks with cascading multiple network switches and high I/O load on storage, the performance improvement is significantly greater than that of the previous method. This showed that our storage system can provide sufficient performance improvement even in large network environments.
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