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MLCS: a cloud storage architecture based on metadata layer

机译:MLCS:基于元数据层的云存储架构

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At present, the design of architecture is the primary problem for cloud storage. GFS has the problems of single point of failure and performance bottleneck. This paper proposed a cloud storage architecture based on metadata layer (MLCS), for the goal of improving the service performance and reliability of the system. The visit load is shared by metadata layer and the time of searching and analyzing metadata is reduced by dual harsh. The improvement of MLCS on reliability, scale, and service performance was verified by experiment and theoretical analysis.
机译:目前,架构的设计是云存储的主要问题。 GFS具有单点故障和性能瓶颈的问题。 本文提出了一种基于元数据层(MLC)的云存储架构,以实现系统的服务性能和可靠性的目标。 访问负载由元数据层共享,并且通过双重苛刻减少了搜索和分析元数据的时间。 通过实验和理论分析验证了对可靠性,规模和服务性能的改善。

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