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This research is supported by the EPSRC grant ‘Working Together: Constraint Programming and Cloud Computing’ (EP/K015745/1), a Royal Society Industry Fellowship, an Impact Acceleration Account Grant (IAA) and an Amazon Web Services (AWS) Education Research Grant.Bag-of-Distributed-Tasks (BoDT) application is the collection of identical and independent tasks each of which requires a piece of input data located around the world. As a result, Cloud computing offers an effective way to execute BoT application as it not only consists of multiple geographically distributed data centres but also allows a user to pay for what is actually used. In this paper, BoDT on the Cloud using virtually unlimited cloud resources is investigated. To this end, a heuristic algorithm is proposed to find an execution plan that takes budget constraints into account. Compared with other approaches, for the same given budget, the proposed algorithm is able to reduce the overall execution time up to 50%.Postprin

Executing Bag of Distributed Tasks on Virtually Unlimited Cloud Resources