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June 11, 2026International Journal of Engineering Systems Modelling and Simulation0 citations

Nature-inspired load balancing in cloud systems: a PSO-GA hybrid optimisation model

SBS. BalajiK(K. D. V. Prasad (18298120)SPS.Silvia Priscila

Key Points

  • This research investigates a hybrid optimization model to improve load balancing in cloud computing using nature-inspired algorithms.
  • Developed a hybrid optimization model combining Particle Swarm Optimization (PSO) and Genetic Algorithm (GA).
  • Implemented simulations to assess load balancing effectiveness in cloud systems.
  • Analyzed performance metrics including response time and resource utilization.
  • The PSO-GA hybrid model achieved a 30% increase in load balancing efficiency compared to traditional methods.
  • Response time decreased by an average of 20 ms (95% CI: 10-30 ms, p<0.01) after optimization.

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Balaji et al. (2026) studied this question.

synapsesocial.com/papers/6a2a528480c8f91e7f39e824https://doi.org/10.1504/ijesms.2026.10079047
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