On the public citation graph
EHadoop: Network I/O Aware Scheduler for Elastic MapReduce Cluster
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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/ccgrid.2013.48openalex-snapshot
Resilin: Elastic MapReduce over Multiple Clouds
inferredcites →https://doi.org/10.1109/cloud.2014.17openalex-snapshot
PowerCass: Energy Efficient, Consistent Hashing Based Storage for Micro Clouds Based Infrastructure
inferredcites →https://doi.org/10.1109/ficloud.2014.22openalex-snapshot
DoLen: User-Side Multi-cloud Application Monitoring
inferredcites →https://doi.org/10.1109/icdew.2010.5452747openalex-snapshot
The HiBench benchmark suite: Characterization of the MapReduce-based data analysis
inferredcites →https://doi.org/10.1109/mascots.2013.63openalex-snapshot
Accelerating Batch Analytics with Residual Resources from Interactive Clouds
inferredcites →https://doi.org/10.1145/2018436.2018465openalex-snapshot
Towards predictable datacenter networks
inferredcites →https://doi.org/10.1145/2391229.2391236openalex-snapshot
Heterogeneity and dynamicity of clouds at scale
inferredcites →https://doi.org/10.1145/2391229.2391239openalex-snapshot
Bridging the tenant-provider gap in cloud services
inferredcites →https://doi.org/10.5555/1972457.1972488openalex-snapshot
Mesos: a platform for fine-grained resource sharing in the data center
inferredcites →https://doi.org/10.5555/2170444.2170459openalex-snapshot
The data furnace: heating up with cloud computing
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/10.1002/cpe.5634openalex-snapshot
A two steps method of resources utilization predication for large Hadoop data center
inferred← citeshttps://doi.org/10.1007/978-981-13-1402-5_12openalex-snapshot
Optimized Capacity Scheduler for MapReduce Applications in Cloud Environments
inferred← citeshttps://doi.org/10.1007/s10586-024-04956-9openalex-snapshot
An analytical model of a cluster-based service system with application to a cloud environment
inferred← citeshttps://doi.org/10.1007/s11042-016-4026-6openalex-snapshot
An efficient MapReduce scheduling scheme for processing large multimedia data
inferred← citeshttps://doi.org/10.1016/j.future.2017.03.017openalex-snapshot
MemEFS: A network-aware elastic in-memory runtime distributed file system
inferred← citeshttps://doi.org/10.1016/j.jcss.2017.01.005openalex-snapshot
A data intensive heuristic approach to the two-stage streaming scheduling problem
inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102889openalex-snapshot
Network-aware task selection to reduce multi-application makespan in cloud
inferred← citeshttps://doi.org/10.1109/comst.2021.3094993openalex-snapshot
Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions
inferred← citeshttps://doi.org/10.1109/hpcs.2017.97openalex-snapshot
Improving the Network Performance of a Container-Based Cloud Environment for Hadoop Systems
inferred← citeshttps://doi.org/10.1109/ipdpsw.2018.00018openalex-snapshot
Large Scale Data Centers Simulation Based on Baseline Test Model
inferred← citeshttps://doi.org/10.1109/tbdata.2017.2723473openalex-snapshot
A Survey on Geographically Distributed Big-Data Processing Using MapReduce
inferred← citeshttps://doi.org/10.1109/tcc.2019.2944916openalex-snapshot
MarVeLScaler: A Multi-View Learning-Based Auto-Scaling System for MapReduce
inferred← citeshttps://doi.org/10.1145/3185768.3186299openalex-snapshot
A Performance Study of Big Data Workloads in Cloud Datacenters with Network Variability
inferred← citeshttps://doi.org/10.13140/rg.2.2.13401.88164openalex-snapshot
A Survey of Big Data Machine Learning Applications Optimization in Cloud Data Centers and Networks
inferred← citeshttps://doi.org/10.2991/aest-16.2016.114openalex-snapshot
Improved YARN resource scheduling algorithm based on network load sensing
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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