This paper presented an enhanced algorithm, dubbed E-BPSO, to optimize the SBA placement in a hybrid cloud. It has been designed to reduce the cost of service deployment with a minimal execution time parameter for an efficient selection of the most optimal service placement solution.
Sep 26, 2022
Jun 10, 2018 · Our proposed E-BPSO algorithm is shown to outperform state-of-the-art approaches in terms of both cost and execution time, using a real ...
Sep 26, 2022 · An Enhanced Binary Particle Swarm Optimization (E-BPSO) algorithm for service placement in hybrid cloud platforms.
Regarding the present work scope, it is primarily focused on investigating service placement optimization within a hybrid-cloud context. The cloud platforms, ...
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Abbes et al. [39] adopted a binary PSO (BPSO)based method to decide the private or public cloud for each service's deployment. This work improved BPSO by ...
Thus, this paper suggests an enhanced BPSO, through the FS approach. The study employs a V type transfer function and a special method for updating positions.
Missing: service placement cloud
This paper presents an enhanced particle swarm optimization employed for feature selection to tackle the limitations of the current version of binary BPSO. Its ...
Missing: placement cloud platforms.
Sep 26, 2022 · An Enhanced Binary Particle Swarm Optimization (E-BPSO) algorithm for service placement in hybrid cloud platforms ... PSO for the particle ...
An Enhanced Binary Particle Swarm Optimization for service placement in hybrid cloud. Overview. The package currently includes a single objective function with ...
Missing: algorithm platforms.
An Enhanced Binary Particle-Swarm Optimization (E-BPSO) Algorithm for Service Placement in Hybrid Cloud Platforms.