数据中心网络的哈密顿特性 DPCell

IF 6.7 2区 计算机科学 Q1 ENGINEERING, MULTIDISCIPLINARY
Hui Dong;Huaqun Wang;Mengjie Lv;Weibei Fan
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引用次数: 0

摘要

数据中心网络(DCN)支持数据存储、处理和复杂计算,在数字化转型中发挥着不可替代的作用。DPCell 是一种基于新型交换机结构的 DCN,在可扩展性和分段宽度方面优于其他基于双端口服务器的 DCN。确保 DCN 的可靠通信性能对于持续提供服务至关重要。本文从哈密顿特性的角度研究了DPCell的可靠通信性能。我们首先证明了 DPCell 是哈密尔顿连接的。考虑到网络故障的不可避免性,我们进一步证明了 DPCell 是故障模型下的超级容错哈密顿网络,并取得了最优结果。DPCell 优越的哈密顿特性证实了其可靠的通信性能,为无死锁可靠通信和快速自适应诊断奠定了基础。我们通过仿真实验验证了理论结果,并进一步评估了 DPCell 在超出故障模型限制条件下的哈密顿特性,包括网络攻击引起的结构故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Hamiltonian Property of the Data Center Network DPCell
Data center networks (DCNs) play an irreplaceable role in digital transformation by enabling data storage, processing, and complex computing. DPCell is a DCN built on a novel fabric of switches structure, outperforming other DCNs based on dual-port servers in scalability and bisection width. Ensuring reliable communication performance in DCNs is critical for continuous service delivery. In this paper, we investigate the reliable communication performance of DPCell from the perspective of Hamiltonian properties. We first prove that DPCell is Hamiltonian-connected. Considering the inevitability of network failures, we further prove that DPCell is a super fault-tolerant Hamiltonian network under a fault model, achieving an optimal result. The superior Hamiltonian properties of DPCell confirm its reliable communication performance, laying the foundation for deadlock-free reliable communication and fast adaptive diagnosis. We verify the theoretical results through simulation experiments and further evaluate DPCell's Hamiltonian properties under conditions exceeding the fault model limit, including structure faults caused by network attacks.
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来源期刊
IEEE Transactions on Network Science and Engineering
IEEE Transactions on Network Science and Engineering Engineering-Control and Systems Engineering
CiteScore
12.60
自引率
9.10%
发文量
393
期刊介绍: The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.
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