Recently, cloud computing is growing fast and helps to realise other high technologies.In this paper, we propose a hieratical architecture to satisfy both providers’ andconsumers’ requirements in these technologies. We design a new service in the PaaSlayer for scheduling consumer tasks. In the providers’ perspective, incompatibilitybetween specification of physical machine and user requests in cloud leads to problemssuch as energy-performance trade-off and large power consumption so that profits aredecreased. To guarantee Quality of service of users’ tasks, and reduce energy efficiency,we proposed to modify Particle Swarm Optimisation to reallocate migrated virtualmachines in the overloaded host.Wealso dynamically consolidate the under-loaded hostwhich provides power saving. Simulation results in CloudSim demonstrated thatwhatever simulation condition is near to the real environment, our method is able to saveas much as 14% more energy and the number of migrations and simulation time(2015)significantly reduces compared with the previous works.
Recently, cloud computing is growing fast and helps to realise other high technologies.In this paper, we propose a hieratical architecture to satisfy both providers’ andconsumers’ requirements in these technologies. We design a new service in the PaaSlayer for scheduling consumer tasks. In the providers’ perspective, incompatibilitybetween specification of physical machine and user requests in cloud leads to problemssuch as energy-performance trade-off and large power consumption so that profits aredecreased. To guarantee Quality of service of users’ tasks, and reduce energy efficiency,we proposed to modify Particle Swarm Optimisation to reallocate migrated virtualmachines in the overloaded host.Wealso dynamically consolidate the under-loaded hostwhich provides power saving. Simulation results in CloudSim demonstrated thatwhatever simulation condition is near to the real environment, our method is able to saveas much as 14% more energy and the number of migrations and simulation time(2015)significantly reduces compared with the previous works.