A Highly Scalable Network Architecture for Optical Data Centers

IF 3.8 2区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Weibei Fan;Yao Pan;Fu Xiao;Pinchang Zhang;Lei Han;Sun-Yuan Hsieh
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引用次数: 0

Abstract

Optical Data Center Networks (ODCNs) are high-performance interconnect architectures in parallel and distributed computing, providing higher bandwidth and lower power consumption. However, current optical DCNs struggle to achieve both high scalability and incremental scalability simultaneously. In this paper, we propose an extended Exchanged hyperCube, denoted by ExCube, which is a highly scalable network architecture for optical data centers. Firstly, we detail the address scheme and constructing method for ExCube, including exponential, linear, and composite scalability, which can adapt to different scalability requirements. ExCube boasts flexible scalability modes, including exponential, linear, and composite scalability, meeting diverse scalability requirements. In particular, the diameter of ExCube remains unchanged as its size increases linearly, indicating superior incremental scalability. Secondly, an efficient routing algorithm with linear time complexity is presented to determine the shortest path between any two different ToRs in ExCube. Additionally, we propose a per-flow scheduling algorithm based on the disjoint paths to enhance the performance of ExCube. The optical devices in ExCube are identical to those in existing optical DCNs, such as WaveCube and OSA, facilitating its construction. Experimental results demonstrate that ExCube outperforms WaveCube in terms of throughput and reduces data transmission time by 5%-35%. Further analysis reveals that ExCube maintains comparable performance to WaveCube across several critical metrics, including low diameter and link complexity. Compared with advanced networks, the overall cost-effectiveness and energy efficiency of ExCube have been reduced by 36.7% and 46.5%, respectively.
一种用于光数据中心的高可扩展网络架构
光数据中心网络(Optical Data Center network, ODCNs)是一种并行、分布式计算的高性能互联架构,具有更高的带宽和更低的功耗。然而,目前的光纤DCNs很难同时实现高可扩展性和增量可扩展性。在本文中,我们提出了一个扩展的交换超立方体,表示为ExCube,这是一个高度可扩展的光数据中心网络架构。首先,详细介绍了ExCube的地址方案和构建方法,包括指数可扩展性、线性可扩展性和复合可扩展性,以适应不同的可扩展性需求。ExCube具有灵活的扩展方式,包括指数扩展、线性扩展和复合扩展,可满足不同的扩展需求。特别是,当ExCube的大小线性增加时,它的直径保持不变,这表明它具有更好的增量可伸缩性。其次,提出了一种具有线性时间复杂度的高效路由算法,用于确定ExCube中任意两个不同tor之间的最短路径。此外,我们还提出了一种基于不相交路径的逐流调度算法,以提高ExCube的性能。ExCube中的光设备与现有光DCNs(如WaveCube、OSA)中的光设备完全相同,便于构建。实验结果表明,ExCube在吞吐量方面优于WaveCube,并将数据传输时间减少了5%-35%。进一步的分析表明,ExCube在几个关键指标上与WaveCube保持相当的性能,包括低直径和链路复杂性。与先进网络相比,ExCube的整体成本效益和能源效率分别降低了36.7%和46.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Transactions on Computers
IEEE Transactions on Computers 工程技术-工程:电子与电气
CiteScore
6.60
自引率
5.40%
发文量
199
审稿时长
6.0 months
期刊介绍: The IEEE Transactions on Computers is a monthly publication with a wide distribution to researchers, developers, technical managers, and educators in the computer field. It publishes papers on research in areas of current interest to the readers. These areas include, but are not limited to, the following: a) computer organizations and architectures; b) operating systems, software systems, and communication protocols; c) real-time systems and embedded systems; d) digital devices, computer components, and interconnection networks; e) specification, design, prototyping, and testing methods and tools; f) performance, fault tolerance, reliability, security, and testability; g) case studies and experimental and theoretical evaluations; and h) new and important applications and trends.
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