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DARE: Adaptive Data Replication for Efficient Cluster Scheduling
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Metrics and benchmarking for parallel job scheduling
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The impact of data replication on job scheduling performance in the Data Grid
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CDRM: A Cost-Effective Dynamic Replication Management Scheme for Cloud Storage Cluster
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ElephantTrap: A low cost device for identifying large flows
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Building a RCP (Rate Control Protocol) Test Network
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Static and adaptive data replication algorithms for fast information access in large distributed systems
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The Impact of Virtualization on Network Performance of Amazon EC2 Data Center
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Improving data availability for a cluster file system through replication
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The Case for Evaluating MapReduce Performance Using Workload Suites
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The Hadoop Distributed File System
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Energy Efficiency in the Future Internet: A Survey of Existing Approaches and Trends in Energy-Aware Fixed Network Infrastructures
inferredcites →https://doi.org/10.1109/tpds.2003.1178881openalex-snapshot
When the herd is smart: aggregate behavior in the selection of job request
inferredcites →https://doi.org/10.1145/1644893.1644918openalex-snapshot
The nature of data center traffic
inferredcites →https://doi.org/10.1145/1851290.1851302openalex-snapshot
Energy proportionality of an enterprise network
inferredcites →https://doi.org/10.1146/annurev.cs.04.060190.000445openalex-snapshot
A Survey of Distributed File Systems
inferredcites →https://doi.org/10.5555/1855741.1855744openalex-snapshot
Improving MapReduce performance in heterogeneous environments
inferredcites →https://doi.org/10.5555/1924943.1924948openalex-snapshot
Availability in globally distributed storage systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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