A Knowledge-based Online Workflow Scheduling System

Workflow scheduling plays a vital role in advanced manufacturing, and it deserves research efforts to warrant further improvement. This paper proposes an intelligent workflow scheduling system (iWFSS) to integrate information, processes, and knowledge into a unified framework that provides a total solution to online scheduling. The iWFSS consists of an information system, a workflow system, and a scheduling system brought together by an integrated platform for rapid construction of domain-specific workflow scheduling systems. A knowledge representation schema and inference algorithms are designed for scheduling decisions. Effect of Changes in Membership Functions on Fuzzy Real-Time Scheduling Pranab K Muhuri 1 and K. K. Shukla 2 1 Senior Research Fellow, 2 Professor & Head, [email protected] [email protected] Dept of Computer Engineering, Institute of Technology, B.H.U., Varanasi-221005, India Abstract Task scheduling is very important in Real-Time Systems as it accomplishes the crucial goal of devising a feasible schedule of the tasks. However, the uncertainty associated with the timing constraints of the real time tasks makes the scheduling problem difficult to formulate. This motivates the use of fuzzy numbers to model task deadlines and completion times. This paper reports how the changes in the membership functions of the fuzzy deadlines affect the satisfaction intervals, the satisfaction of schedulability and the tasks priorities of set of a real time tasks.