In this research work, a fuzzy load balancer is devised using different levels of design and tuning of fuzzy controls. This fuzzy logic based algorithm has been ...
The analysis shows that 3-level design is energy efficient for load balancing in fog zone due to reduced number of intervals in fuzzy design, reduced overhead ...
Design and exploration of load balancers for fog computing using fuzzy logic · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...
Sep 28, 2019 · This dataset consists of 3000 records, where each sub-parameter/sub-variable corresponds to 1000 records for 3-level fuzzy load balancer design.
Singh SP, Sharma A, and Kumar R Design and exploration of load balancers for fog computing using fuzzy logic Simul. Model. Pract. Theory 2020 101 102017.
Simulations show FGELB reduces energy use, failures, costs, overheads, and waiting times versus existing methods. Key innovations are the hybrid fuzzy logic and.
Kumar, "Design and exploration of load balancers for fog computing using fuzzy logic,". Simulation Modelling Practice and Theory, vol. 101, p. 102017,. 2020 ...
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May 5, 2022 · This article investigates the load-balancing algorithms systematically in fog computing in four classifications, including approximate, exact, ...
In the work, [74] a fuzzy load balancer has been devised by Simar et al. by using a variety of designs and tunings of fuzzy logic control algorithms. Network ...
Load balancing techniques for fog computing environment ...
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Jul 18, 2022 · Design and exploration of load balancers for fog computing using fuzzy logic. Simul Model Pract Theory. 2020; 101:102017. 10.1016/j.simpat ...