Nowadays by improving the richness of prediction methods and accessing to the more information about systems behavior, the role of proactive strategies in developing more reliable and efficient systems becomes more crucial. However, the goals of prediction and the way that the results can be employed to upgrade the system are still topics which draw recent researchers\' attention. In this work, we attempt to decrease Jobs wait time and failure rate by using the results of a job futurity predictor. For achieving this goal, a system component called JSM is proposed. JSM consults the predictor and employs a game theory based model in order to probably rejecting the jobs which are likely to fail. Furthermore, for avoiding from rejecting safety jobs mistakenly, JSM intelligently adopts its decisions with the systems situations. Experimental results state a significant reduction in jobs wait time and failure rate in comparison with other related work.

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