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Improving MapReduce Performance with Progress and Feedback Based Speculative Execution
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.future.2014.08.011openalex-snapshot
A self-adaptive scheduling algorithm for reduce start time
inferredcites →https://doi.org/10.1109/bigdatasecurity-hpsc-ids.2016.30openalex-snapshot
A New Replica Placement Policy for Hadoop Distributed File System
inferredcites →https://doi.org/10.1109/cit.2010.458openalex-snapshot
SAMR: A Self-adaptive MapReduce Scheduling Algorithm in Heterogeneous Environment
inferredcites →https://doi.org/10.1109/cloudcom-asia.2013.95openalex-snapshot
Self-Learning MapReduce Scheduler in Multi-job Environment
inferredcites →https://doi.org/10.1109/icpads.2012.30openalex-snapshot
ESAMR: An Enhanced Self-Adaptive MapReduce Scheduling Algorithm
inferredcites →https://doi.org/10.1109/ipdpsw.2010.5470880openalex-snapshot
Improving MapReduce performance through data placement in heterogeneous Hadoop clusters
inferredcites →https://doi.org/10.1109/smartcloud.2016.44openalex-snapshot
Improving Load Balance for Data-Intensive Computing on Cloud Platforms
inferredcites →https://doi.org/10.1109/tc.2013.15openalex-snapshot
Improving MapReduce Performance Using Smart Speculative Execution Strategy
inferredcites →https://doi.org/10.1109/tc.2015.2409857openalex-snapshot
Phase-Change Memory Optimization for Green Cloud with Genetic Algorithm
inferredcites →https://doi.org/10.1109/tc.2015.2470247openalex-snapshot
Privacy Protection for Preventing Data Over-Collection in Smart City
inferredcites →https://doi.org/10.1109/tcc.2016.2594172openalex-snapshot
Cost-Aware Multimedia Data Allocation for Heterogeneous Memory Using Genetic Algorithm in Cloud Computing
inferredcites →https://doi.org/10.1186/2192-113x-2-23openalex-snapshot
An improved task assignment scheme for Hadoop running in the clouds
inferredcites →https://doi.org/10.14778/1920841.1920903openalex-snapshot
The performance of 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/10.2139/ssrn.4493754openalex-extracted
Dynamic Split Size: A Novel Approach for Bolstering Map Side Aggregation in Mapreduce and Future Ideas
inferred← citeshttps://doi.org/10.1007/s10586-021-03339-8openalex-snapshot
A classification of hadoop job schedulers based on performance optimization approaches
inferred← citeshttps://doi.org/10.1007/s11042-018-7093-zopenalex-snapshot
A roadmap towards implementing parallel aspect level sentiment analysis
inferred← citeshttps://doi.org/10.1007/s12652-020-02699-0openalex-snapshot
Historical data based approach for straggler avoidance in a heterogeneous Hadoop cluster
inferred← citeshttps://doi.org/10.1016/j.comnet.2021.107807openalex-snapshot
Cluster load based content distribution and speculative execution for geographically distributed cloud environment
inferred← citeshttps://doi.org/10.1109/amathe65477.2025.11081254openalex-snapshot
A Novel Approach to Efficient Network Adaptation in MANETs with QED
inferred← citeshttps://doi.org/10.1109/bigdataservice.2019.00013openalex-snapshot
Improvement of Data Throughput in Data-Intensive Cloud Computing Applications
inferred← citeshttps://doi.org/10.11591/ijeecs.v30.i1.pp121-128openalex-snapshot
Enhancing the security of quality of service-oriented distributed routing protocol for hybrid wireless network
inferred← citeshttps://doi.org/10.1186/s13677-019-0139-6openalex-snapshot
Improvement of job completion time in data-intensive cloud computing applications
inferred← citeshttps://doi.org/10.36227/techrxiv.171778162.24397354/v1openalex-snapshot
Dynamic Split Size: A Novel Approach for Bolstering Map Side Aggregation in MapReduce and Future Ideas
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