Izvorni znanstveni članak
https://doi.org/10.32985/ijeces.14.4.8
An Efficient Switch Migration Scheme for Load Balancing in Software Defined Networking
Thangaraj Ethilu
orcid.org/0000-0002-4310-4382
; Annamalai University, Department of Computer Science and Engineering, Tamilnadu, India.
Abirami Sathappan
; Annamalai University Department of Computer Science and Engineering, Tamilnadu, India.
Paul Rodrigues
; King Khalid University Department of Computer Engineering, Abha, Saudi Arabia
Sažetak
Software-defined networking (SDN) provides increased flexibility to network management through distributed SDN control, and it has been a great breakthrough in network innovation. Switch migration is extensively used for workload balancing among distributed controllers. The time-sharing switch migration (TSSM) scheme proposes a strategy in which more than one controller is allowed to share the workload of a switch via time sharing during overloaded conditions, resulting in the mitigation of ping-pong controller difficulty, a reduced number of overload occurrences, and better controller efficiency. However, it has increased migration costs and higher controller resource consumption during the TSSM operation period because it requires more than one controller to perform. Therefore, we have proposed a strategy that optimizes the controller selection during the TSSM period based on flow characteristics through a greedy set coverage algorithm. The improved TSSM scheme provides reduced migration costs and lower controller resource consumption, as well as TSSM benefits. For its feasibility, the implementation of the proposed scheme is accomplished through an open network operating system. The experimental results show that the proposed improved TSSM scheme reduces the migration cost and lowers the controller resource consumption by about 36% and 34%, respectively, as compared with the conventional TSSM scheme.
Ključne riječi
Quality of Service; Software-Defined Networks; Load-Balancing; Open Flow;
Hrčak ID:
300948
URI
Datum izdavanja:
26.4.2023.
Posjeta: 747 *