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Chisel: A Resource Savvy Approach for Handling Skew in MapReduce Applications
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1109/cloudcom.2010.25openalex-snapshot
LEEN: Locality/Fairness-Aware Key Partitioning for MapReduce in the Cloud
inferredcites →https://doi.org/10.1109/cluster.2011.44openalex-snapshot
Automatic Task Re-organization in MapReduce
inferredcites →https://doi.org/10.1109/icebe.2011.37openalex-snapshot
CREST: Towards Fast Speculation of Straggler Tasks in MapReduce
inferredcites →https://doi.org/10.1109/tc.2013.15openalex-snapshot
Improving MapReduce Performance Using Smart Speculative Execution Strategy
inferredcites →https://doi.org/10.1145/2391229.2391245openalex-snapshot
Balancing reducer skew in MapReduce workloads using progressive sampling
inferredcites →https://doi.org/10.5220/0003391100000551openalex-snapshot
HANDLING DATA SKEW IN MAPREDUCE
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.5555/1924943.1924962openalex-snapshot
Reining in the outliers in map-reduce clusters using Mantri
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-319-21042-1_25openalex-snapshot
SALA: A Skew-Avoiding and Locality-Aware Algorithm for MapReduce-Based Join
inferred← citeshttps://doi.org/10.1007/978-3-319-25159-2_59openalex-snapshot
CSRA: An Efficient Resource Allocation Algorithm in MapReduce Considering Data Skewness
inferred← citeshttps://doi.org/10.1007/s10586-017-1044-8openalex-snapshot
AEGEUS++: an energy-aware online partition skew mitigation algorithm for mapreduce in cloud
inferred← citeshttps://doi.org/10.1007/s10586-021-03530-xopenalex-snapshot
Historical data based approach to mitigate stragglers from the Reduce phase of MapReduce in a heterogeneous Hadoop cluster
inferred← citeshttps://doi.org/10.1007/s10766-019-00627-0openalex-snapshot
MapReduce Data Skewness Handling: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1007/s11227-019-02855-0openalex-snapshot
Learning automata-based algorithms for MapReduce data skewness handling
inferred← citeshttps://doi.org/10.1007/s11227-021-03740-5openalex-snapshot
A frequency-aware and energy-saving strategy based on DVFS for Spark
inferred← citeshttps://doi.org/10.1007/s11704-018-6586-2openalex-snapshot
Reducing partition skew on MapReduce: an incremental allocation approach
inferred← citeshttps://doi.org/10.1088/1742-6596/1575/1/012109openalex-snapshot
Load Balancing Mechanism Based on Linear Regression Partition Prediction in Spark
inferred← citeshttps://doi.org/10.1109/aina.2017.44openalex-snapshot
Smart Partitioning Mechanism for Dealing with Intermediate Data Skew in Reduce Task on Cloud Computing
inferred← citeshttps://doi.org/10.1109/ics.2016.0111openalex-snapshot
Idempotent Task Cache System for Handling Intermediate Data Skew in MapReduce on Cloud Computing
inferred← citeshttps://doi.org/10.1109/smartworld.2018.00185openalex-snapshot
An Adaptive Partition Method for Handling Skew in Spark Applications
inferred← citeshttps://doi.org/10.1109/tcc.2015.2481400openalex-snapshot
Towards Efficient Resource Allocation for Heterogeneous Workloads in IaaS Clouds
inferred← citeshttps://doi.org/10.1109/tcc.2018.2878838openalex-snapshot
An Intermediate Data Partition Algorithm for Skew Mitigation in Spark Computing Environment
inferred← citeshttps://doi.org/10.1109/tcc.2021.3132627openalex-snapshot
A Network Load Perception Based Task Scheduler for Parallel Distributed Data Processing Systems
inferred← citeshttps://doi.org/10.1201/b18050-12openalex-snapshot
◾ Time–Space Scheduling in the MapReduce Framework
inferred← citeshttps://doi.org/10.2298/csis240831018zopenalex-snapshot
Delay-aware resource-efficient interleaved task scheduling strategy in spark
inferred← citeshttps://doi.org/10.32657/10356/66012openalex-snapshot
Cost-effective and Qos-aware resource allocation for cloud computing
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