Key points are not available for this paper at this time.
Grid computing is a type of distributed computing that has shown promising applications in many fields. A great concern in grid computing is the cheating problem described in the following: a participant is given D = x/sub 1/,. . . , x/sub n/, it needs to compute f (x) for all x/spl isin/D and return the results of interest to the supervisor. How does the supervisor efficiently ensure that the participant has computed f (x) for all the inputs in D, rather than a subset of it? If participants get paid for conducting the task, there are incentives for cheating. We propose a novel scheme to achieve the uncheatable grid computing. Our scheme uses a sampling technique and the Merkle-tree based commitment technique to achieve efficient and viable uncheatable grid computing.
Du et al. (Thu,) studied this question.