EWSA: An enriched workflow scheduling algorithm in cloud computing

Cloud computing environment is one of the latest research area where research is taking place at a very fast pace. This concept of computing which is based on cloud is expanding its umbrella day by day, taking almost every computing activity under its shed either it is related to resources, tasks or data storage. This hiking interest of users has made it quite challenging for the providers to meet up the consumer desires. Scheduling of tasks plays an important role in the performance of any cloudlet scheduling algorithm. Tasks scheduling if observed closely in realistic world is based on dependent tasks i.e., they represents a workflow. A number of scheduling algorithms have been proposed for independent tasks but very few are there which operates on dependent tasks. Here, in this paper we propose a new scheduling algorithm for workflow, which are having dependencies among tasks, taking into consideration important parameters of transfer time and bandwidth along with basic requirements of optimizing the execution time and cost. The simulation is experimented using cloudSim toolkit. Our algorithm provides better results over other existing algorithm like PSO and CSO and is more closely related to real world scenario.