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FRESH: Fair and Efficient Slot Configuration and Scheduling for Hadoop Clusters
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/nav.3800010110openalex-snapshot
Optimal two‐ and three‐stage production schedules with setup times included
inferredcites →https://doi.org/10.1007/978-3-642-25821-3_10openalex-snapshot
Resource-Aware Adaptive Scheduling for MapReduce Clusters
inferredcites →https://doi.org/10.1109/cloud.2012.37openalex-snapshot
MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters
inferredcites →https://doi.org/10.1109/cloud.2013.140openalex-snapshot
Using a Tunable Knob for Reducing Makespan of MapReduce Jobs in a Hadoop Cluster
inferredcites →https://doi.org/10.1109/infcom.2012.6195658openalex-snapshot
Performance analysis of Coupling Scheduler for MapReduce/Hadoop
inferredcites →https://doi.org/10.1109/infcom.2013.6566957openalex-snapshot
Map task scheduling in MapReduce with data locality: Throughput and heavy-traffic optimality
inferredcites →https://doi.org/10.1109/infcom.2013.6566958openalex-snapshot
Coupling task progress for MapReduce resource-aware scheduling
inferredcites →https://doi.org/10.1109/mascots.2012.12openalex-snapshot
Two Sides of a Coin: Optimizing the Schedule of MapReduce Jobs to Minimize Their Makespan and Improve Cluster Performance
inferredcites →https://doi.org/10.1109/noms.2010.5488494openalex-snapshot
Performance-driven task co-scheduling for MapReduce environments
inferredcites →https://doi.org/10.1109/tnet.2014.2362745openalex-snapshot
MapTask Scheduling in MapReduce With Data Locality: Throughput and Heavy-Traffic Optimality
inferredcites →https://doi.org/10.1109/tpds.2016.2587645openalex-snapshot
iShuffle: Improving Hadoop Performance with Shuffle-on-Write
inferredcites →https://doi.org/10.1145/2087522.2087528openalex-snapshot
Dynamic split model of resource utilization in MapReduce
inferredcites →https://doi.org/10.1145/2254756.2254761openalex-snapshot
Delay tails in MapReduce scheduling
inferredcites →https://doi.org/10.48550/arxiv.cs/9809099openalex-snapshot
A Quantitative Measure Of Fairness And Discrimination For Resource Allocation In Shared Computer Systems
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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EMM: Extended matching market based scheduling for big data platform hadoop
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Task Scheduling in Big Data Platforms: A Systematic Literature Review
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Optimizing Internal Overlaps by Self-Adjusting Resource Allocation in Multi-Stage Computing Systems
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Hadoop-MapReduce Job Scheduling Algorithms Survey
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A novel technique using slot configuration on Hadoop clusters
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DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms
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Hadoop MapReduce scheduling paradigms
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OpERA: Opportunistic and Efficient Resource Allocation in Hadoop YARN by Harnessing Idle Resources
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EA2S2: An Efficient Application-Aware Storage System for Big Data Processing in Heterogeneous Clusters
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AutoPath: Harnessing Parallel Execution Paths for Efficient Resource Allocation in Multi-Stage Big Data Frameworks
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SEINA: A stealthy and effective internal attack in Hadoop systems
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A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics
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Apache Hadoop Yarn Parameter configuration Challenges and Optimization
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Priority Scheduling for Heterogeneous Workloads: Tradeoff Between Evictions and Response Time
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OMO: Optimize MapReduce overlap with a good start (reduce) and a good finish (map)
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eSplash: Efficient speculation in large scale heterogeneous computing systems
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DRAPS: Dynamic and resource-aware placement scheme for docker containers in a heterogeneous cluster
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New YARN Non-Exclusive Resource Management Scheme through Opportunistic Idle Resource Assignment
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New Scheduling Algorithms for Improving Performance and Resource Utilization in Hadoop YARN Clusters
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Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers
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Dynamic reduce task adjustment for hadoop workloads
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A Study on Big Data Hadoop Map Reduce Job Scheduling
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Iterative Qubits Management for Quantum Search
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Resource and Performance Modelling of Hadoop Clusters Using Machine Learning
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Resource and Performance Modelling of Hadoop Clusters Using Machine Learning
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An Evolutionary Computation Approach to Resource Allocation in Container-based Clouds
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A systematic literature review on MapReduce scheduling methods
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An Experimental Study of LSTM Encoder-Decoder Model for Text Simplification
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