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首页> 外文会议>Symposium on Mass Storage Systems and Technologies >Understanding I/O performance behaviors of cloud storage from a client's perspective
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Understanding I/O performance behaviors of cloud storage from a client's perspective

机译：从客户端的角度了解云存储的I / O性能行为

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摘要

Cloud storage has gained increasing popularity in the past few years. In cloud storage, data is stored in the service provider's data centers, and users access data via the network. For such a new storage model, our prior wisdom about conventional storage may not remain valid nor applicable to the emerging cloud storage. In this paper, we present a comprehensive study and attempt to gain insight into the unique characteristics of cloud storage, primarily from the client's perspective. Through extensive experiments and quantitative analysis, we have acquired several interesting, and in some cases unexpected, findings. (1) Parallelizing I/Os and increasing request sizes are keys to improving the performance, but optimal bandwidth may only be achieved with a proper combination of parallelism and request size. (2) Client capabilities, including CPU, memory, and storage, play an unexpectedly important role in determining the achievable performance. (3) A geographically long distance affects client-perceived performance but does not always result in lower bandwidth and longer latency. Based on our experimental studies, we further present a case study on appropriate chunking and parallelization in a cloud storage client. Our studies show that specific attention should be paid to fully exploiting the capabilities of clients and the great potential of cloud storage services.
机译：在过去的几年中，云存储越来越受欢迎。在云存储中，数据存储在服务提供商的数据中心中，用户通过网络访问数据。对于这样的新存储模型，我们对常规存储的先验知识可能仍然无效，也不适用于新兴的云存储。在本文中，我们将进行全面的研究，并试图从客户的角度来深入了解云存储的独特特性。通过广泛的实验和定量分析，我们获得了一些有趣的发现，在某些情况下是出乎意料的发现。 （1）并行化I / O和增加请求大小是提高性能的关键，但是只有将并行性和请求大小正确组合才能实现最佳带宽。 （2）客户端功能（包括CPU，内存和存储）在确定可实现的性能方面发挥了意想不到的重要作用。 （3）地理上的长距离会影响客户端感知的性能，但并不总是导致较低的带宽和较长的延迟。基于我们的实验研究，我们进一步介绍了有关云存储客户端中适当的分块和并行化的案例研究。我们的研究表明，应特别注意充分利用客户端的功能和云存储服务的巨大潜力。

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