MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
e-Science Central for CARMEN: science as a service
Concurrency and Computation: Practice & Experience - Concurrency and Computation: Practice and Experience from the Microsoft eScience Workshop
A framework for dynamically generating predictive models of workflow execution
WORKS '13 Proceedings of the 8th Workshop on Workflows in Support of Large-Scale Science
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In this paper we describe the Panel of Experts cloud pattern and give examples of its use. The Panel of Experts pattern can be applied when a range of algorithms "compete" to provide the best solution to a problem. It can therefore be viewed as the dual of map-reduce [2] as it applies a set of functions to one data item, whereas map-reduce applies one function to a set of data items. The pattern has been evaluated through a large chemical informatics application which can take days to run on tens of cloud nodes.