Citation

Lim, C. S. and Tan, Saw Chin and Baderulhisham, N. Q. (2022) Energy And Congestion Awareness Traffic Scheduling In Hybrid Software-Defined Network. In: 2022 IEEE International Conference on Computing (ICOCO), 14-16 Nov 2022, Sabah, Malaysia.

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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.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Hybrid Software-Defined Networks , Energy-aware , traffic scheduling , Congestion
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	28 Mar 2023 06:30
Last Modified:	28 Mar 2023 06:30
URII:	http://shdl.mmu.edu.my/id/eprint/11272

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