Load Balancing Algorithm for Migrating Switches in Software-defined Vehicular Networks

In Software-Defined Networks (SDN), the divergence of the control interface from the data plane provides a unique platform to develop a programmable and flexible network. A single controller, due to heavy load traffic triggered by different intelligent devices can not handle due to it’s restricted c...

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Vydáno v:Computers, materials & continua Ročník 67; číslo 1; s. 1301 - 1316
Hlavní autoři: Babbar, Himanshi, Rani, Shalli, Masud, Mehedi, Verma, Sahil, Anand, Divya, Jhanjhi, NZ
Médium: Journal Article
Jazyk:angličtina
Vydáno: Henderson Tech Science Press 2021
Témata:
Algorithms
Controllers
Load
Load balancing
Load distribution (forces)
Network latency
Overloading
Programmable controllers
Software
Software-defined networking
Stress concentration
Switches
Vehicles
Wireless communications
ISSN:1546-2226, 1546-2218, 1546-2226
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Shrnutí:In Software-Defined Networks (SDN), the divergence of the control interface from the data plane provides a unique platform to develop a programmable and flexible network. A single controller, due to heavy load traffic triggered by different intelligent devices can not handle due to it’s restricted capability. To manage this, it is necessary to implement multiple controllers on the control plane to achieve quality network performance and robustness. The flow of data through the multiple controllers also varies, resulting in an unequal distribution of load between different controllers. One major drawback of the multiple controllers is their constant configuration of the mapping of the switch-controller, quickly allowing unequal distribution of load between controllers. To overcome this drawback, Software-Defined Vehicular Networking (SDVN) has evolved as a configurable and scalable network, that has quickly achieved attraction in wireless communications from research groups, businesses, and industries administration. In this paper, we have proposed a load balancing algorithm based on latency for multiple SDN controllers. It acknowledges the evolving characteristics of real-time latency vs. controller loads. By choosing the required latency and resolving multiple overloads simultaneously, our proposed algorithm solves the load-balancing problems with multiple overloaded controllers in the SDN control plane. In addition to the migration, our algorithm has improved 25% latency as compared to the existing algorithms.
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ISSN:1546-2226
1546-2218
1546-2226
DOI:10.32604/cmc.2021.014627