Prediction and adaptive query scheduling of non-dedicated resources on massive open online courses

Massive Open Online Course system,MOOC,requires a large number of resources for supporting users to get good services.Resources of MOOC used dynamically and fixed time for rental waste a lot of resources.The method of non-dedicated resources is applied to MOOC,to reduce the overall amount of resources to hire.First of all,using Markov birth-death process to predicate resources for getting non-dedicated resources;secondly,setting up query expected cost matrix,QEC;thirdly,using Adaptive Min-Min and Max-Min,A-MM,algorithm for adaptive query scheduling;finally,experiments are done and show that the prediction error rate is low and the performance of prediction is stable;and A-MM has a good efficiency and balance capacity.