A Task Scheduling Technique Based on Particle Swarm Optimization Algorithm in Cloud Environment

Cloud computing is on the edge of another revolution where resources are globally networked and can be shared user to user in easy way. Cloud computing is an emerging research domain which encompasses computing, storage, software, network, and other heterogeneous requirements on demand. Today, dynamic resource allocation and proper distribution of loads in cloud server are a challenging task. So task scheduling is an essential step to enhance the performance of cloud computing. Although lots of scheduling algorithms are used in cloud environment but still now no reasonably efficient algorithms are used. We have proposed a Modified Particle Swarm Optimisation (MPSO) technique where we have focused on two essential parameters in cloud scheduling such as average scheduling length and ratio of successful execution. According to the result analysis in simulation, Modified Particle Swarm Optimization (MPSO) technique shows better performance than Min-Min, Max-Min, and Standard PSO. Finally, critical future research directions are outlined.