HS-DCell: A Highly Scalable DCell-Based Server-Centric Topology for Data Center Networks

IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE IEEE/ACM Transactions on Networking Pub Date : 2024-03-20 DOI:10.1109/TNET.2024.3398628
Guijuan Wang;Yazhi Zhang;Jiguo Yu;Meijie Ma;Chunqiang Hu;Jianxi Fan;Li Zhang
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Abstract

Topology design is vital to the high performance data center networks. Due to the limited scalability, many traditional server-centric data center networks are confronting the updating and upgrading hurdles. To address the issue, this paper proposes a highly scalable DCell-based server-centric data center network topology, called HS-DCell, which can use inexpensive and typical switches and servers with only three network ports to achieve excellent network performance. HS-DCell can accommodate a large number of servers, and its diameter increases linearly with the growth of network levels, which is better than that of most existing server-centric networks. Furthermore, a fault-free routing algorithm and a fault-tolerant routing algorithm are developed based on HS-DCell. Compared with other mainstream server-centric network topologies, the experimental results show that HS-DCell has obvious advantages in many key performance indicators including scalability, fault tolerance, and server port utilization.
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HS-DCell:数据中心网络以服务器为中心的高扩展 DCell 拓扑
拓扑设计对高性能数据中心网络至关重要。由于可扩展性有限,许多传统的以服务器为中心的数据中心网络都面临着更新和升级的障碍。为了解决这个问题,本文提出了一种基于 DCell 的以服务器为中心的高可扩展性数据中心网络拓扑结构,称为 HS-DCell,它可以使用廉价的典型交换机和只有三个网络端口的服务器来实现出色的网络性能。HS-DCell 可容纳大量服务器,其直径随网络级别的增长呈线性增长,优于大多数现有的以服务器为中心的网络。此外,还开发了基于 HS-DCell 的无故障路由算法和容错路由算法。实验结果表明,与其他主流的以服务器为中心的网络拓扑相比,HS-DCell 在可扩展性、容错性和服务器端口利用率等多项关键性能指标上都具有明显优势。
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来源期刊
IEEE/ACM Transactions on Networking
IEEE/ACM Transactions on Networking 工程技术-电信学
CiteScore
8.20
自引率
5.40%
发文量
246
审稿时长
4-8 weeks
期刊介绍: The IEEE/ACM Transactions on Networking’s high-level objective is to publish high-quality, original research results derived from theoretical or experimental exploration of the area of communication/computer networking, covering all sorts of information transport networks over all sorts of physical layer technologies, both wireline (all kinds of guided media: e.g., copper, optical) and wireless (e.g., radio-frequency, acoustic (e.g., underwater), infra-red), or hybrids of these. The journal welcomes applied contributions reporting on novel experiences and experiments with actual systems.
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