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Achieving Better Load Balance in Distributed Storage System

机译:在分布式存储系统中实现更好的负载平衡

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摘要

The CPU processing speed and disk capacity are increasing tremendously during the past decade. However, the even faster increasing number of users generates higher requirements for high performance and huge capacity computer systems. More and more applications are now running on distributed systems. Load balance is an important issue in distributed storage systems. Currently, very few of them has a finely-tuned load balance scheme to achieve higher system throughput and shorter client response times. We propose a new load balance scheme called Cooperative Load Balance Scheme (CLBS) to solve this problem. In CLBS, servers cooperate with a client in its decision of the next request by sending their current workload information to the client every small amount of time. With the assistance of servers, a client can always choose the light-loaded server. We did trace driven simulation experiments to compare CLBS with the scheme used in a traditional distributed storage system. The results show a shorter average response time and a smaller average queue size under both light and heavy workloads.
机译:在过去的十年中,CPU的处理速度和磁盘容量正在急剧增加。但是,用户数量的快速增长对高性能和大容量的计算机系统提出了更高的要求。现在越来越多的应用程序在分布式系统上运行。负载平衡是分布式存储系统中的重要问题。当前,它们中只有极少数具有经过微调的负载平衡方案,可以实现更高的系统吞吐量和更短的客户端响应时间。我们提出了一种新的负载均衡方案,称为协作负载均衡方案(CLBS),以解决此问题。在CLBS中,服务器通过每隔一小段时间将其当前工作负载信息发送给客户端,来与客户端合作以决定下一个请求。在服务器的帮助下,客户端始终可以选择轻负载的服务器。我们进行了跟踪驱动的仿真实验,以将CLBS与传统分布式存储系统中使用的方案进行比较。结果表明,在轻负载和重负载下,平均响应时间更短,平均队列大小更小。

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