Evaluation of Response Time Using Gang Scheduling Algorithm for B2C Electronic Commerce Architecture Implemented in Cloud Computing Environment by Queuing Models

Cloud Computing refers to the concept ofoutsourcing the services, computational requirements and datastorage to a centralized facility called “Cloud”. Cloud consistsof an assemblage of virtualized resources, which include bothcomputational and storage services that can be provisioned ondemand, depending on the users’ necessities. Gang Schedulingis one of the most efficient algorithms for scheduling paralleljobs and is already functional in the extents of parallel anddistributed systems. This paper associates the enactment ofgang job scheduling algorithm in B2C electronic commercearchitecture to calculate the total response time of the B2C ECarchitecture in public cloud, using combination of differentqueuing models. Results reveal the performance of jobscheduling algorithm using each of the queuing models andsuggestions are accomplished consequently.