A RYU-SDN Controller-Based VM Migration Scheme Using SD-EAW Ranking Methods for Identifying Active Jobs in the 5G Cloud Framework

Grace Shalini T. and Rathnamala S.
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Grace Shalini T.: Velammal College of Engineering and Technology, India
Rathnamala S.: Sethu Institute of Technology, India

International Journal of Cloud Applications and Computing (IJCAC), 2023, vol. 13, issue 1, 1-18

Abstract: The presented scheme focuses on active jobs live migration among VMs in 5G cloud framework depending on the software defined networks (SDN) to improve QoS in cloud framework. In this approach, RYU SDN controller is employed, which provides software components that allows software developers to extend network management and control applications for utilizing the features of SDN controller. It currently supports variety of southbound protocols such as OpenFlow, OF-Config, NETCONF, etc., whereas the proposed system uses Mininet prototype network. The destination server selection in the data centre is based on the server distinction based equivalent active weights (SD-EAW) ranking methods. The weight computation necessitate was to recognize non-active and active jobs. A presented SD-EAW scheme utilizes Pareto distribution for the recognition of active and inactive jobs in both continuous and discrete intervals of time. The presented SD-EAW algorithm functions well over all traditional approaches and in turn offers an optimum solution through minimizing the cloud environment's make span.

Date: 2023
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