2026-10-24T18:16:57Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/5024 2021-12-13T04:44:00Z 1582963302567:1597824273898 user-ucsy

A PSO-GA based hybrid Algorithm for the composite SaaS Placement Problem in the Cloud Aye, Yin Nyein Naing, Thinn Thu Cloud computing is an emerging computingparadigm in which applications, data and ITresources are provided as a service to users overthe Internet. One kind of services that can beoffered through the cloud is Software as aService or (SaaS). For SaaS placement in theCloud, the problem relates to how a compositeSaaS should be placed in a Cloud by the Cloud’sproviders such that its performance is optimalbased on its estimated execution time. Thechallenges in the SaaS placement process rely onseveral factors, including the size of the Cloudnetwork, SaaS competing resource requirements,SaaS interactions between its components andSaaS interactions with its data components. Thispaper proposes a PSO-GA (Particle SwarmOptimizing-Genetic Algorithm) based hybridalgorithm to the composite SaaS placementproblem in the Cloud storage for minimizing theexecution time and execution cost of applicationson the resources provided by cloud. 2011-05-05 http://hdl.handle.net/20.500.12678/0000005024 https://meral.edu.mm/records/5024