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Pythia: Faster Big Data in Motion through Predictive Software-Defined Network Optimization at Runtime
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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/cloud.2012.37openalex-snapshot
MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters
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/sfcs.1975.21openalex-snapshot
On the complexity of time table and multi-commodity flow problems
inferredcites →https://doi.org/10.1109/tpds.2013.59openalex-snapshot
Design and Evaluation of Network-Levitated Merge for Hadoop Acceleration
inferredcites →https://doi.org/10.1145/2018436.2018448openalex-snapshot
Managing data transfers in computer clusters with orchestra
inferredcites →https://doi.org/10.1145/2043164.2018448openalex-snapshot
Managing data transfers in computer clusters with orchestra
inferredcites →https://doi.org/10.1145/2342441.2342462openalex-snapshot
Programming your network at run-time for big data applications
inferredcites →https://doi.org/10.17487/rfc2992openalex-snapshot
Analysis of an Equal-Cost Multi-Path Algorithm
inferredcites →https://doi.org/10.21236/ada561775openalex-snapshot
Understanding TCP Incast and Its Implications for Big Data Workloads
inferredcites →https://doi.org/10.21276/ijre.2018.5.5.4openalex-snapshot
MapReduce: Simplified Data Processing on Large Cluster
inferredcites →https://doi.org/10.5555/1855711.1855730openalex-snapshot
Hedera: dynamic flow scheduling for data center networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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A Distributed Software Defined Networking Model to Improve the Scalability and Quality of Services for Flexible Green Energy Internet for Smart Grid Systems
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Big data analytics: a literature review
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Big Data Meet Cyber-Physical Systems: A Panoramic Survey
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On Efficiency and Scalability of Software-Defined Infrastructure for Adaptive Applications
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Big Data Analytics-Enhanced Cloud Computing: Challenges, Architectural Elements, and Future Directions
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A Coflow-Based Co-Optimization Framework for High-Performance Data Analytics
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Doopnet: An emulator for network performance analysis of Hadoop clusters using Docker and Mininet
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Evaluating, Estimating, and Improving Network Performance in Container-based Clouds
inferred← citeshttps://doi.org/10.1109/jproc.2014.2371999openalex-snapshot
Software-Defined Networking: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/jsac.2016.2520245openalex-snapshot
Greener Data Exchange in the Cloud: A Coding-Based Optimization for Big Data Processing
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MRemu: An Emulation-Based Framework for Datacenter Network Experimentation Using Realistic MapReduce Traffic
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Quality of Service in Software Defined Networks for Scientific Applications: Opportunities and Challenges
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Efficient Rules Management Algorithms in Software Defined Networking
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