Electrical Circuit Analogy-Based Maximum Latency Calculation Method of Internet Data Centers in Power-Communication Network

IF 8.6 1区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Smart Grid Pub Date : 2024-10-11 DOI:10.1109/TSG.2024.3478844
Qian Xiao;Tianxiang Li;Hongjie Jia;Yunfei Mu;Yu Jin;Ji Qiao;Tianjiao Pu;Frede Blaabjerg;Josep M. Guerrero
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Abstract

This letter has developed an electrical circuit analogy-based maximum latency calculation (MLC) method of the Internet data center (IDC) in power-communication network. Firstly, by analogy with the circuit model, the basic concepts to describe information flow are defined, including information current, information resistance, information conductivity, and information voltage. Based on these concepts, the information processing model considering both channel blocking and user priority is established. By analogy with the electrical circuit, the information flow calculation laws are introduced to calculate the maximum latency of IDCs. Verification results show that the maximum latency of IDCs in power-communication network can be accurately calculated by the proposed MLC method.
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基于电路类比的电力通信网络中互联网数据中心最大延迟计算方法
本文提出了一种基于电路模拟的电力通信网络中互联网数据中心(IDC)的最大延迟计算方法。首先,通过类比电路模型,定义了描述信息流的基本概念,包括信息电流、信息电阻、信息电导率和信息电压。在此基础上,建立了考虑信道阻塞和用户优先级的信息处理模型。通过类比电路,引入信息流计算规律来计算idc的最大时延。验证结果表明,所提出的MLC方法可以准确地计算出电力通信网络中idc的最大时延。
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来源期刊
IEEE Transactions on Smart Grid
IEEE Transactions on Smart Grid ENGINEERING, ELECTRICAL & ELECTRONIC-
CiteScore
22.10
自引率
9.40%
发文量
526
审稿时长
6 months
期刊介绍: The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.
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