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- W3150806465 abstract "Cloud computing is a general term used in the era of information technology. There are various services provided by the cloud providers for the users as per the demand. There are various key issues for cloud providers to provide the services to their users without any fault. Fault in the cloud scenario can be handled either reactively or proactively. Load balancing, reducing energy consumption and optimization of scheduling of tasks can reduce fault. There are various optimization techniques such as Ant colony Optimization (ACO), Particle Swarm Optimization (PSO) and genetic algorithms. Particle swarm optimization (PSO) is a biological population based method for optimizing a real problem to improve a candidate solution with regard to a given measure of quality. PSO was firstly used for the simulation of social behavior of bird or fish as they move in the sky or water respectively in a stylish manner. Selection of the path depends on the fitter members of the swarm and particles flying in the environment following the selected path and generally biasing their movement toward historically good areas of their environment. This algorithm is used to exchange information to share previous data about the carried out search and to find a place with enough food." @default.
- W3150806465 created "2021-04-13" @default.
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- W3150806465 date "2018-01-01" @default.
- W3150806465 modified "2023-09-23" @default.
- W3150806465 title "Modeling for VM Allocation using Particle Swarm Optimization" @default.
- W3150806465 hasPublicationYear "2018" @default.
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