Review of SDN-based load-balancing methods, issues, challenges, and roadmap

IF 0.8 Q4 ENGINEERING, ELECTRICAL & ELECTRONIC
Mohit Chandra Saxena, Munish Sabharwal, Preeti Bajaj
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引用次数: 0

Abstract

The development of the Internet and smart end systems, such as smartphones and portable laptops, along with the emergence of cloud computing, social networks, and the Internet of Things, has brought about new network requirements. To meet these requirements, a new architecture called software-defined network (SDN) has been introduced. However, traffic distribution in SDN has raised challenges, especially in terms of uneven load distribution impacting network performance. To address this issue, several SDN load balancing (LB) techniques have been developed to improve efficiency. This article provides an overview of SDN and its effect on load balancing, highlighting key elements and discussing various load-balancing schemes based on existing solutions and research challenges. Additionally, the article outlines performance metrics used to evaluate these algorithms and suggests possible future research directions.
回顾基于sdn的负载平衡方法、问题、挑战和路线图
随着互联网和智能手机、便携式笔记本电脑等智能终端系统的发展,以及云计算、社交网络、物联网的出现,对网络提出了新的需求。为了满足这些需求,引入了一种称为软件定义网络(SDN)的新体系结构。然而,SDN的流量分配也带来了挑战,特别是负载分配不均对网络性能的影响。为了解决这个问题,已经开发了几种SDN负载平衡(LB)技术来提高效率。本文概述了SDN及其对负载均衡的影响,重点介绍了关键元素,并讨论了基于现有解决方案和研究挑战的各种负载均衡方案。此外,本文概述了用于评估这些算法的性能指标,并提出了可能的未来研究方向。
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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来源期刊
CiteScore
1.20
自引率
11.80%
发文量
69
期刊介绍: The International Journal of Electrical and Computer Engineering Systems publishes original research in the form of full papers, case studies, reviews and surveys. It covers theory and application of electrical and computer engineering, synergy of computer systems and computational methods with electrical and electronic systems, as well as interdisciplinary research. Power systems Renewable electricity production Power electronics Electrical drives Industrial electronics Communication systems Advanced modulation techniques RFID devices and systems Signal and data processing Image processing Multimedia systems Microelectronics Instrumentation and measurement Control systems Robotics Modeling and simulation Modern computer architectures Computer networks Embedded systems High-performance computing Engineering education Parallel and distributed computer systems Human-computer systems Intelligent systems Multi-agent and holonic systems Real-time systems Software engineering Internet and web applications and systems Applications of computer systems in engineering and related disciplines Mathematical models of engineering systems Engineering management.
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