Energy And Congestion Awareness Traffic Scheduling In Hybrid Software-Defined Network

C. Lim, S. C. Tan, N. Q. Baderulhisham
{"title":"Energy And Congestion Awareness Traffic Scheduling In Hybrid Software-Defined Network","authors":"C. Lim, S. C. Tan, N. Q. Baderulhisham","doi":"10.1109/ICOCO56118.2022.10032016","DOIUrl":null,"url":null,"abstract":"The term “Hybrid Software-Defined Network” (HSDN) refers to a network that includes both traditional networking devices and Software Defined Networking (SDN) devices. The segregation of the control and data planes in SDN tools that enables centralized control of SDN traffic. Traffic scheduling in H-SDN can be handled through the centralized controller to alleviate traffic congestion. Traffic scheduling that includes flow splitting provides flexibility for traffic flow in order to reduce overload on the network. The network’s energy efficiency is critical for cost and energy savings. As a result, the energy consumption of a traffic flow should be considered during traffic scheduling. As a result, the goals of this paper are twofold: First, identify the research challenges in hybrid SDN energy and congestion traffic scheduling. Second, we will discuss future research directions for energy and congested-aware traffic scheduling in Hybrid SDN.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Computing (ICOCO)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOCO56118.2022.10032016","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The term “Hybrid Software-Defined Network” (HSDN) refers to a network that includes both traditional networking devices and Software Defined Networking (SDN) devices. The segregation of the control and data planes in SDN tools that enables centralized control of SDN traffic. Traffic scheduling in H-SDN can be handled through the centralized controller to alleviate traffic congestion. Traffic scheduling that includes flow splitting provides flexibility for traffic flow in order to reduce overload on the network. The network’s energy efficiency is critical for cost and energy savings. As a result, the energy consumption of a traffic flow should be considered during traffic scheduling. As a result, the goals of this paper are twofold: First, identify the research challenges in hybrid SDN energy and congestion traffic scheduling. Second, we will discuss future research directions for energy and congested-aware traffic scheduling in Hybrid SDN.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
混合软件定义网络中的能量和拥塞感知交通调度
“混合软件定义网络”(HSDN)是指既包括传统网络设备又包括软件定义网络(SDN)设备的网络。SDN工具中控制平面和数据平面的分离,实现了对SDN流量的集中控制。H-SDN可以通过集中控制器进行流量调度,缓解流量拥塞。包括分流在内的流量调度为流量提供了灵活性,以减少网络的过载。电网的能源效率对成本和能源节约至关重要。因此,在进行交通调度时应考虑交通流的能量消耗。因此,本文的目标是双重的:首先,确定混合SDN能量和拥塞流量调度的研究挑战。其次,讨论混合SDN下能量感知和拥塞感知流量调度的未来研究方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Preliminary Study on the Effect of Traffic Representation on Accuracy Degradation in Machine Learning-based IoT Device Identification Residual Value Prediction A Framework for Supporting Deaf and Mute Learning Experience Through Extended Reality A Comparative Study of Monolithic and Microservices Architectures in Machine Learning Scenarios Salient feature extraction using Attention for Brain Tumor segmentation
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1