Design of task scheduling model for cloud applications in multi cloud environment

Abstract

Task Scheduling is important part in cloud computing environment for heterogeneous resources. Task scheduling is to allocate tasks to the best suitable resources to increase performance in terms of some dynamic parameters. The proposed scheduling model is constructed for cloud applications in multi cloud environment and implemented in three phases (minimization, grouping & ranking and execution) and considered average waiting time, average turnaround time, completion time and makespan as performance parameters. In this scheduling model, execution time of tasks in cloud applications is generated through normal distribution and exponential distribution. Ranking of tasks is based upon shortest job first strategy (SJF) and results are compared with other ranking method based upon first come first serve (FCFS) and largest processing time first (LPTF). The proposed scheduling model gives better performance as per defined performance parameters.