基于可编程数据平面的ai驱动数据包转发研究

IF 34.4 1区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Communications Surveys and Tutorials Pub Date : 2022-10-27 DOI:10.1109/COMST.2022.3217613

Wei Quan;Ziheng Xu;Mingyuan Liu;Nan Cheng;Gang Liu;Deyun Gao;Hongke Zhang;Xuemin Shen;Weihua Zhuang

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引用次数: 2

摘要

现有的数据包转发技术由于其框架过于死板，已经不能满足日益增长的互联网发展需求。应用人工智能(AI)实现高效的数据包转发作为一个新的发展方向越来越受到人们的关注。近年来，可编程数据平面(PDP)的爆炸式发展为人工智能驱动的数据包转发提供了潜在的推动力。因此，本文对人工智能驱动的PDP报文转发的最新研究进行了综述。首先，我们描述了两种最具代表性的数据包转发框架，即传统的ai驱动转发框架和PDP辅助下的新型转发框架。然后，我们从延迟、吞吐量、安全性和可靠性四个方面分析了两种框架下的数据包转发能力。对于每一项措施，我们从简单的数据包转发到AI辅助下的数据包转发能力增强，再到PDP支持的AI驱动的数据包转发的最新研究来组织内容。最后，我们确定了人工智能驱动数据包转发的三个发展方向，并强调了未来研究的挑战和问题。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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AI-Driven Packet Forwarding With Programmable Data Plane: A Survey

The existing packet forwarding technology cannot meet the increasing requirements of Internet development due to its rigid framework. Application of artificial intelligence (AI) for efficient packet forwarding is gaining more and more interest as a new direction. Recently, the explosive development of programmable data plane (PDP) has provided a potential impetus to packet forwarding driven by AI. Therefore, this paper presents a survey on the recent research in AI-driven packet forwarding with PDP. First, we describe two of the most representative frameworks of the packet forwarding, i.e., the traditional AI-driven forwarding framework and the new one assisted by the PDP. Then, we focus on capacity of the packet forwarding under the two frameworks in four measures: delay, throughput, security, and reliability. For each measure, we organize the content with the evolution from simple packet forwarding, to packet forwarding capacity enhancement with the assistance of AI, to the latest research on AI-driven packet forwarding supported by the PDP. Finally, we identify three directions in the development of AI-driven packet forwarding, and highlight the challenges and issues in future research.

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来源期刊

IEEE Communications Surveys and Tutorials COMPUTER SCIENCE, INFORMATION SYSTEMS-TELECOMMUNICATIONS

CiteScore

80.20

自引率

2.50%

发文量

审稿时长

6 months

期刊介绍： IEEE Communications Surveys & Tutorials is an online journal published by the IEEE Communications Society for tutorials and surveys covering all aspects of the communications field. Telecommunications technology is progressing at a rapid pace, and the IEEE Communications Society is committed to providing researchers and other professionals the information and tools to stay abreast. IEEE Communications Surveys and Tutorials focuses on integrating and adding understanding to the existing literature on communications, putting results in context. Whether searching for in-depth information about a familiar area or an introduction into a new area, IEEE Communications Surveys & Tutorials aims to be the premier source of peer-reviewed, comprehensive tutorials and surveys, and pointers to further sources. IEEE Communications Surveys & Tutorials publishes only articles exclusively written for IEEE Communications Surveys & Tutorials and go through a rigorous review process before their publication in the quarterly issues. A tutorial article in the IEEE Communications Surveys & Tutorials should be designed to help the reader to become familiar with and learn something specific about a chosen topic. In contrast, the term survey, as applied here, is defined to mean a survey of the literature. A survey article in IEEE Communications Surveys & Tutorials should provide a comprehensive review of developments in a selected area, covering its development from its inception to its current state and beyond, and illustrating its development through liberal citations from the literature. Both tutorials and surveys should be tutorial in nature and should be written in a style comprehensible to readers outside the specialty of the article.