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Research on computing Resource Measurement and routing Methods in Software Defined computing First Network

SENSORS 2024年第4期24卷 1086页

作者： Gong, Xiaomin Ren, Shuangyin Wang, Chunjiang Wang, Jingchao Acad Syst Engn AMS Beijing 100141 Peoples R China

computing resource measurement and computing routing are essential technologies in the computing first network (CFN), serving as its foundational elements. This paper introduces a Software Defined computing First Network (SD-CFN) architecture. Building upon this framework, a Dynamic-Static Integrated computing Resource Measurement Mechanism (DCRMM) is proposed, incorporating methods such as the entropy weight method and K-Means clustering. The DCRMM algorithm outperforms the Maximum-closest Static Algorithm (MSA) and Maximum Closest Dynamic Algorithm (MDA) in terms of node stability, node utilization, and node matching accuracy. Additionally, a Reinforcement Learning and Software Defined computing First Networking routing (RSCR) algorithm is presented as a software-defined computing routing solution within the SD-CFN. RSCR introduces a knowledge plane responsible for computing routing calculations. It comprehensively considers factors such as link latency, available bandwidth, and packet loss rate. Simulation experiments conducted on the GeANT topology demonstrate that RSCR outperforms the OSPF algorithm in terms of link latency, packet loss rate, and throughput. DCRMM and RSCR offer innovative solutions for computing resource measurement and computing routing in computing first networks.

关键词： software defined network computing first network computing routing computing resource measurement reinforcement learning

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A Survey of Compute First Networking 23

A Survey of Compute First Networking

引用

23rd IEEE International Conference on Communication Technology, ICCT 2023

作者： Gong, Xiaomin Bai, Chenchen Ren, Shuangyin Wang, Jingchao Wang, Chunjiang Institute of Systems Engineering Academy of Military Sciences Pla Beijing China School of Resources and Environment University of Electronic Science and Technology of China Chengdu China

ISBN: (纸本)9798350325959

With the rapid advancements in cloud computing, edge computing, and intelligent devices, there has been a proliferation of computing resources with a trend toward ubiquitous deployment. However, traditional network architectures have struggled to effectively harness these ubiquitous computing resources. In response to this challenge and the growing need for optimizing and efficiently utilizing both network and computing resources, a novel architectural paradigm known as Compute First Networking (CFN) has emerged. CFN establishes a framework where ubiquitous and heterogeneous computing resources are interconnected through networking, enabling unified orchestration and flexible resource allocation. This research paper commences by providing an in-depth examination of the current state of CFN research, delineates various definitions associated with CFN, elucidates the fundamental architecture and pivotal technologies underpinning CFN, and ultimately delves into prospective avenues for future CFN research endeavors. © 2023 IEEE.

关键词： compute first networking compute first networking orchestration computing modeling computing routing

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