New approach to dynamic load balancing in software‐defined network‐based data centers

Çavdar T., Aymaz Ş.

ETRI JOURNAL, cilt.45, sa.3, ss.433-447, 2023 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 45 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.4218/etrij.2021-0478
  • Dergi Adı: ETRI JOURNAL
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Applied Science & Technology Source, Compendex, Computer & Applied Sciences, INSPEC, Directory of Open Access Journals
  • Sayfa Sayıları: ss.433-447
  • Anahtar Kelimeler: hybrid cost function, load balancing, mininet, software-defined networks, DEPLOYMENT
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Critical issues such as connection congestion, long transmission delay, and packet loss become even worse during epidemic, disaster, and so on. In this study, a link load balancing method is proposed to address these issues on the data plane, a plane of the software-defined network (SDN) architecture. These problems are NP-complete, so a meta-heuristic approach, discrete particle swarm optimization, is used with a novel hybrid cost function. The superiority of the proposed method over existing methods in the literature is that it provides link and switch load balancing simultaneously. The goal is to choose a path that minimizes the connection load between the source and destination in multipath SDNs. Furthermore, the proposed work is dynamic, so selected paths are regularly updated. Simulation results prove that with the proposed method, streams reach the target with minimum time, no loss, low power consumption, and low memory usage.