Load sharing based on task resource prediction

Predicted task resource usage provides a basis for developing two centralized load-sharing policies: MinQ and MinResp. Trace-driven simulations are used to compare MinQ and MinResp against Centex, an efficient centralized scheme. Experimental results show that the use of prediction makes MinQ and MinResp significantly less sensitive to the status update rate than Centex. Consequently, the proposed algorithms perform better than Centex at slower update rates and are capable of handling larger workloads. The prediction-based policies are also highly effective for load-sharing in environments with widely varying CPU requirements. Using a real trace file,with an equal number of large and small tasks, MinResp consistently produced mean response times that were 9% to 35% lower than those of Centex