Affiliation:
1. The Bonch-Bruevich Saint-Petersburg State University of Telecommunications
Abstract
The usage of multi-controller SDNs is currently the most efficient approach for constructing the core of communication networks of the fifth and following generations. One of the top priorities in the study of this topic is occupied by the optimisation of the network core construction since it involves relatively high expenses when developing communication networks of the fifth and future generations. Due to the complexity of the problems being tackled, there are currently a number of load balancing algorithms and algorithms for arranging controllers in multicontroller networks that are based on meta-heuristic methods. These algorithms allow for the optimum possible utilisation of controller resources in such networks. However, a comprehensive solution to the load balancing and controller placement issues has yet to be discovered. The answer to such an issue is the focus of this article. The report suggests using network clustering in conjunction with the meta-heuristic chaotic salp swarm technique, which has shown to be effective in prior research on the challenges of creating multi-controller networks, to accomplish this goal. The salp swarm algorithm in the paper is adjusted to take into account the integral solution to the problem of deploying controllers based on clustering of a multi-controller network and load balancing. By contrasting the simulation results with those from the well-known meta-heuristic particle swarm algorithms optimization and the grey wolf GWO, as well as the previous version of the chaotic salp swarm algorithm CSSA, the effectiveness of the proposed solution was evaluated.
Publisher
Bonch-Bruevich State University of Telecommunications
Reference17 articles.
1. Koucheryavy A.E., Makolkina M.A., Kirichek R.V. Tactile internet. ULTRA-Low Latency Networks. Electrosvyaz. 2016;1:44‒46. (in Russ.)
2. Borodin A.S., Koucheryavy A.E. Fifth generation networks as a base to the digital economy. Electrosvyaz. 2017;5(45‒49).
3. Koucheryavy A.E., Prokopiev A.V., Koucheryavy Y.A. Self-Organizing Network. St. Petersburg: Lyubavich Printing House; 2011. 312 p. (in Russ.)
4. Ateya A.A., Muthanna A.S., Koucheryavy A.E. Intelligent core network for 5g and tactile internet systems based on software defined networks. Electrosvyaz. 2019;3:34−40. (in Russ.)
5. Heller B., Sherwood R., McKeown N. The controller placement problem. Proceedings of the Special Interest Group on Data Communication, SIGCOMM ’12, 13 August−17 August 2012, Helsinki, Finland. Special October issue ACM SIGCOMM Computer Communication Review. New York: ACM; 2012;42(4):473−478. DOI:10.1145/2377677.2377767