A Dynamic Schedule Based on Integrated Time Performance Prediction

Grid computing has a significant impact on the next generation information infrastructure where job schedules plan an important role. High performance grid schedule must select the appropriate resources which meet the requirement of the clients and ensure the jobs can be finished within deadline. However, current time-based grid schedule only consider part of the time factors to estimate the job execution. In this paper we have presented a new integrated approach for dynamic schedule based on time performance prediction. The algorithm has been introduced to calculate the dynamic priority and the shortest total execution time.