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Implementation of a Distributed Data Storage System with Resource Monitoring on Cloud Computing

机译:云计算中资源监控的分布式数据存储系统的实现

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This paper focuses on cloud computing infrastructure, and especially data services. The goal of this paper is to implement a high performance and load balancing, and able-to-be-replicated system that provides data storage for private cloud users through a virtualization system. The DaaS extends the functionality of the Hadoop distributed system (HDFS). The proposed approach also implements a resource monitor of machine status factors such as CPU, memory, and network usage to help optimize the virtualization system and data storage system. To prove and extend the usability of this design, a synchronize app was also developed running on Android based on our distributed data storage (DDS).
机译:本文重点介绍云计算基础架构,尤其是数据服务。本文的目标是实现高性能和负载平衡以及能够复制的系统,该系统通过虚拟化系统为私有云用户提供数据存储。 DaaS扩展了Hadoop分布式系统(HDFS)的功能。所提出的方法还实现了对机器状态因素(例如CPU,内存和网络使用情况)的资源监视,以帮助优化虚拟化系统和数据存储系统。为了证明并扩展该设计的可用性,还基于我们的分布式数据存储(DDS)在Android上运行了同步应用程序。

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