{"title":"混合软件定义网络中的能量和拥塞感知交通调度","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":"{\"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}","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}
Energy And Congestion Awareness Traffic Scheduling In Hybrid Software-Defined Network
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.