Skill Based Workflow Scheduling for Efficient Utilization of Resources

Abstract

Workflow applications are collections of several structured activities and computational tasks. Efficient workflow scheduling has become critical resulting in reduced scheduling overhead minimizes the cost and maximized resource utilization while meeting user specified overall deadline. The proposed system aims at deriving a system which maximizes the resource utilization, minimizing the financial cost and less scheduling overhead. The proposed approach splits the work flow into tasks and groups the tasks based on dependency of data and priority constraints. Thereafter optimizing the allocation and scheduling of resources in heterogeneous projects dynamically.