Publication | Closed Access
Fast greedy algorithms in mapreduce and streaming
93
Citations
31
References
2013
Year
Unknown Venue
Cluster ComputingEngineeringDistributed AlgorithmsGreedy AlgorithmsStreaming AlgorithmDistributed Ai SystemMap-reduceOperations ResearchGreedy ChoiceData ScienceData MiningBest FriendsAlgorithmic Mechanism DesignDistributed Problem SolvingParallel ComputingCombinatorial OptimizationData ManagementMechanism DesignPerformance GuaranteeStreaming EngineDistributed Constraint OptimizationFast Greedy AlgorithmsComputer ScienceParallel ProgrammingBig Data
Greedy algorithms are practitioners' best friends - they are intuitive, simple to implement, and often lead to very good solutions. However, implementing greedy algorithms in a distributed setting is challenging since the greedy choice is inherently sequential, and it is not clear how to take advantage of the extra processing power.
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