A framework for implementing throughput optimization using multi-pso task scheduling algorithm
Boopalan Muthulakshmi, K. Somasundaram · 2018
In cloud computing, datacenter server unification to boost the potency of resources. Several Vms (virtual machine) are running on every datacenter to utilize the resources expeditiously. Most of the time cloud resources are under-utilized owing to poor programming of task (or application) in datacenter. To propose a multi-objective task programming algorithmic rule for mapping tasks and also use PSO for optimisation to a Vms so as to enhance the output of the datacenter associated cut back the value while not violating the SLA (Service Level Agreement) for an application in cloud SaaS surroundings. The planned algorithmic rule provides associate optimum methodology. Most of the algorithms schedule tasks supported single criteria (i.e execution time). However in cloud surroundings it's needed to think about numerous criteria like programming execution time, cost, information measure of user etc. This algorithmic rule is simulated mistreatment CloudSim machine and therefore the result shows higher performance and improved output.