Optimizing the layout of embedding BCube into grid architectures

IF 3.4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Paul Immanuel, A. Berin Greeni
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Abstract

The storage, processing, and distribution of enormous volumes of data are made possible by data centers, which are vital components of the contemporary computing infrastructure. The BCube network is a type of significant data center network which was developed for modular data centers that are based on shipping containers. Network embedding of data centers into certain topologies offers several benefits, including improved scalability, reduced power consumption, enhanced reliability, and improved overall network performance. Embedding of a guest graph into suitable host graphs have significant applications like: virtualizing the Network-on-Chip layouts, portability of algorithms, and the simulation capabilities of parallel architectures. A crucial key factor that influences the quality of embedding is layout. So far, there have been few results regarding the embedding of graphs into certain data center networks. However, these results are obtained by fixing data center networks as host graphs with linear arrays and cycles as guest graphs. In this work, we investigate the edge isoperimetric features of BCube and embed it into linear arrays and grid structures by considering it as the guest graph. This study is the first that we are aware of, on embedding data center networks for minimum layout.
优化BCube嵌入网格架构的布局
数据中心是当代计算基础设施的重要组成部分,它使海量数据的存储、处理和分发成为可能。BCube网络是一种重要的数据中心网络,它是为基于集装箱的模块化数据中心而开发的。将数据中心的网络嵌入到某些拓扑结构中有几个好处,包括改进的可伸缩性、降低的功耗、增强的可靠性和改进的整体网络性能。将来宾图嵌入到适当的主机图中具有重要的应用,例如:虚拟化片上网络布局、算法的可移植性和并行体系结构的模拟功能。影响嵌入质量的一个关键因素是布局。到目前为止,关于将图形嵌入到某些数据中心网络中还没有什么结果。然而,这些结果是通过将数据中心网络固定为主机图,将线性阵列和周期固定为访客图来获得的。在这项工作中,我们研究了BCube的边缘等周特征,并将其作为来宾图嵌入到线性阵列和网格结构中。这是我们所知的第一个关于嵌入数据中心网络以实现最小布局的研究。
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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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