计算感知网络（CAN）：计算与网络融合的系统设计

IF 2.7 3区工程技术 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

Frontiers of Information Technology & Electronic Engineering Pub Date : 2024-06-07 DOI:10.1631/fitee.2400098

Xiaoyun Wang, Xiaodong Duan, Kehan Yao, Tao Sun, Peng Liu, Hongwei Yang, Zhiqiang Li

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引用次数: 0

摘要

网络资源的覆盖范围日益广泛, 算力资源也逐渐成为能够提供泛在计算服务的基础设施. 然而, 在广域网络, 底层网络和计算资源缺乏密切的研究或协同设计, 仍然存在计算服务调度缓慢、数据分发不灵活、数据传输效率低等问题. 本文提出算力感知网络(CAN)的系统架构设计, 其核心贡献在于引入感知平面来收集、管理并综合计算和网络的信息. 这样, 感知平面、控制平面和数据平面组成一个闭环控制系统, 增强了整个系统的感知能力、决策能力和数据转发功能. 为了使能CAN系统, 本文提出三项关键技术: 算力路由、弹性广播和广域高吞吐传输. 本文以人工智能(AI)模型训练、推理和离线参数传输为例, 展示CAN的适用性, 并指出未来的一些研究方向.

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Computing-aware network (CAN): a systematic design of computing and network convergence

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来源期刊

Frontiers of Information Technology & Electronic Engineering COMPUTER SCIENCE, INFORMATION SYSTEMSCOMPU-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

6.00

自引率

10.00%

发文量

1372

期刊介绍： Frontiers of Information Technology & Electronic Engineering (ISSN 2095-9184, monthly), formerly known as Journal of Zhejiang University SCIENCE C (Computers & Electronics) (2010-2014), is an international peer-reviewed journal launched by Chinese Academy of Engineering (CAE) and Zhejiang University, co-published by Springer & Zhejiang University Press. FITEE is aimed to publish the latest implementation of applications, principles, and algorithms in the broad area of Electrical and Electronic Engineering, including but not limited to Computer Science, Information Sciences, Control, Automation, Telecommunications. There are different types of articles for your choice, including research articles, review articles, science letters, perspective, new technical notes and methods, etc.