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SLA-DO: A SLA-Based Data Distribution Strategy on Multiple Cloud Storage Systems

机译:SLA-DO:多云存储系统的基于SLA的数据分发策略

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One of the major advantages of the cloud storage system is that it simplifies the time-consuming processes of hardware and software provisioning, deployment and distribution for users. Currently there is a tremendous increase in the scale of data generated as well as being consumed by applications on cloud storage systems, but besides availability metrics, few of cloud storage services provide data privacy guarantees in their Service Level Agreements (SLAs), which can be a major concern for the adoption of cloud storage services. The paper firstly proposes an analysis approach for the data privacy, then introduces privacy into the service quality, and defines a service quality evaluation model including privacy, availability, throughput, transfer time and operating cost. At last, a novel data distribution strategy called SLA-DO is presented. The comparison experiment results confirmed that SLA-DO strategy shows better performance in SLAs compliance, resource utilization, security guarantees and multiple cloud environmental adaptability than the data distribution policy adopted in HDFS and OpenStack.
机译:云存储系统的主要优点之一是它简化了用户的硬件和软件供应,部署和分发的耗时过程。目前,生成的数据规模以及由云存储系统上的应用程序消耗的数据巨大增加,但除了可用性指标之外,云存储服务的少数人提供数据隐私保证在其服务级别协议(SLA)中可以采用云存储服务的主要关注点。本文首先提出了一个数据隐私的分析方法,然后将隐私引入服务质量,并定义了一个服务质量评估模型,包括隐私,可用性,吞吐量,传输时间和运输成本。最后,提出了一种名为SLA-DO的新型数据分发策略。比较实验结果证实,SLA-DO策略在SLA合规性,资源利用,安全保证和多云环境适应性方面表现出更好的性能,而不是HDFS和OpenStack采用的数据分发策略。

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