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Job Aware Scheduling Algorithm for MapReduce Framework
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility
inferredcites →https://doi.org/10.1016/j.future.2011.07.001openalex-snapshot
Dynamic energy efficient data placement and cluster reconfiguration algorithm for MapReduce framework
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SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment
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Performance Management of Accelerated MapReduce Workloads in Heterogeneous Clusters
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The WEKA data mining software
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Learning based opportunistic admission control algorithm for MapReduce as a service
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Energy and SLA-driven MapReduce Job Scheduling Framework for Cloud-based Cyber-Physical Systems
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FAULT TOLERANT BASED HYPER-HEURISTIC ALGORITHM FOR TASK SCHEDULING IN CLOUD
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Responsive Job Scheduling for Map-Reduce in Hadoop Framework
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A systematic literature review on MapReduce scheduling methods
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An Overview of Hadoop Scheduler Algorithms
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Optimisation de la gestion des ressources sur une plate-forme informatique du type Big Data basée sur le logiciel Hadoop
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