云计算是用户们能从遥远的基础结构在需求上租借计算和存储资源的一个有弹性的计算模型。它由于它的低费用,高可靠性,和宽可获得性正在获得流行。与象亚马逊,微软,和 Google 一样的公共的云存储平台的出现,单个应用程序和企业存储在云上正在被发布。然而,到它的更宽的推广的严肃的妨碍是有效数据管理服务的相对缺乏。我们的实验,以及工业报告,当数据在公共的云上被服务时,证明了表演和服务级的同意(SLA ) 不能被保证。在云存储 I/O 性能的坚持的数据和大可变性的相对慢的存取能显著地降级数据集中的应用程序的性能。这份报纸在平台和我们建议的公共的云上处理 I/O 表演变化的问题中间件叫了在云存储和顾客之间的 CloudMW 向存储服务提供更好的性能和 SLA 满足。一些技术包括数据虚拟化,组合的数据,缓冲,并且复制,集成于 CloudMW 完成更稳定、可预言的表演,和许可证在虚拟机(VM ) 之中的存储的灵活分享。试验性的结果基于亚马逊万维网服务(AWS ) 证明 CloudMW 能改进稳定性并且帮助提供更好的 SLA 并且数据为云存储分享。
Cloud computing is an elastic computing model where users can lease computing and storage resources on demand from a remote infrastructure. It is gaining popularity due to its low cost, high reliability, and wide availability. With the emergence of public cloud storage platforms like Amazon, Microsoft, and Google, individual applications and enterprise storage are being deployed on Clouds. However, a serious impediment to its wider deployment is the relative lack of effective data management services. Our experiments, as well as industry reports, have shown that the performance and service-level agreement (SLA) cannot be guaranteed when the data is served over public Clouds. The relatively slow access to persistent data and large variability in cloud storage I/O performance can significantly degrade the performance of data-intensive applications. This paper addresses the issue of I/O performance fluctuation over public cloud platforms and we propose a middleware called CloudMW between the Cloud storage and clients to provide the storage services with better performance and SLA satisfaction. Some technologies, including data virtualization, data chunking, caching, and replication, are integrated into CloudMW to achieve a more stable and predictable performance, and permit flexible sharing of storage among the virtual machines (VMs). Experimental results based on Amazon Web Services (AWS) show that CloudMW is able to improve the stability and help provide better SLAs and data sharing for cloud storage.