2023
DOI: 10.1007/s00500-023-09201-w
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Reliability-aware web service composition with cost minimization perspective: a multi-objective particle swarm optimization model in multi-cloud scenarios

Mohammad Ali Nezafat Tabalvandani,
Mirsaeid Hosseini Shirvani,
Homayun Motameni
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Cited by 7 publications
(2 citation statements)
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References 38 publications
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“…In order to reduce overall costs and increase security in multi-cloud environment, SHIRVANI M H [7] formulated the web service composition problem as a bi-objective optimization problem with service cost and multi cloud risk perspectives in the ever-increasing multi cloud environment (MCE). TABALVANDANI M A N et al [8] proposed a multi-objective particle swarm optimization model in multi-cloud scenarios to increase system reliability. Xie et al [9] created a hybrid multi-objective optimization algorithm to solve the service composition optimization problems of production factor resources in an industrial internet setting.…”
Section: Service Compositionmentioning
confidence: 99%
“…In order to reduce overall costs and increase security in multi-cloud environment, SHIRVANI M H [7] formulated the web service composition problem as a bi-objective optimization problem with service cost and multi cloud risk perspectives in the ever-increasing multi cloud environment (MCE). TABALVANDANI M A N et al [8] proposed a multi-objective particle swarm optimization model in multi-cloud scenarios to increase system reliability. Xie et al [9] created a hybrid multi-objective optimization algorithm to solve the service composition optimization problems of production factor resources in an industrial internet setting.…”
Section: Service Compositionmentioning
confidence: 99%
“…In order to reduce overall costs and increase security in multi-cloud environment, SHIRVANI M H [7] formulated the web service composition problem as a bi-objective optimization problem with service cost and multi cloud risk perspectives in the ever-increasing multi cloud environment (MCE). TABALVANDANI M A N et al [8] proposed a multi-objective particle swarm optimization model in multi-cloud scenarios to increase system reliability. Xie et al [9] created a hybrid multi-objective optimization algorithm to solve the service composition optimization problems of production factor resources in an industrial internet setting.…”
Section: Service Compositionmentioning
confidence: 99%