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File retrieval and storage in the open source cloud tool using digital bipartite and digit compact prefix indexing method

机译:使用数字二分法和数字紧凑前缀索引方法在开源云工具中进行文件检索和存储

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摘要

Cloud computing plays a major role in data centers, and its important services are used by thedata centers. Data centers are large number of computers that are interrelated to make thecloud services available. Data centers are increasing nowadays to provide a platform to storefiles, data applications, etc. Data centers with large storage capacity are the foundation for cloudcomputing services such as web searching and network storage. Data traffic takes place withinand outside the data centers and needs to forward data between servers in the network. In thispaper, a new method called digital bipartite and digit compact prefix with hashing techniqueis used to store and retrieve data in the cloud. The idea is to create a volume of storage fora user within the data center to store their files. Digital bipartite and Digit compact prefixare implemented to store and retrieve the user files efficiently. The implementation is done inOpenStack with a multinode setup. The proposed method compares the insertion time, searchtime, and throughput with the number of nodes, the number of compute instances, and thenumber of files for the two algorithms.
机译:云计算在数据中心中起着重要作用,其重要服务由数据中心使用。数据中心是与使 r ncloud服务可用相关的大量计算机。如今,数据中心正在不断增加,以提供一个存储文件,数据应用程序等的平台。具有大存储容量的数据中心是诸如网络搜索和网络存储之类的云计算服务的基础。数据流量发生在数据中心内外,并且需要在网络中的服务器之间转发数据。在本文中,一种称为“数字二分法”和带有哈希技术的数字紧凑前缀的新方法 r nis用于在云中存储和检索数据。这个想法是为数据中心内的用户创建一个存储卷以存储他们的文件。实施了数字双向和Digit紧凑前缀 r nare,以有效地存储和检索用户文件。该实现是在 r nOpenStack中使用多节点设置完成的。所提出的方法将两种算法的插入时间,搜索时间和吞吐量与节点数,计算实例数和文件数进行比较。

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