On the public citation graph

Modeling the Performance of MapReduce under Resource Contentions and Task Failures

https://doi.org/10.1109/cloudcom.2013.28
0 signed · 30 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/ccis.2011.6045080openalex-snapshot
An analytical performance model of MapReduce
inferredcites →https://doi.org/10.1109/cloud.2011.14openalex-snapshot
Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds
inferredcites →https://doi.org/10.1109/clusterw.2012.24openalex-snapshot
A Practical Performance Model for Hadoop MapReduce
inferredcites →https://doi.org/10.1109/dsn.2006.5openalex-snapshot
A large-scale study of failures in high-performance computing systems
inferredcites →https://doi.org/10.1109/ipdpsw.2012.254openalex-snapshot
Statistics-based Workload Modeling for MapReduce
inferredcites →https://doi.org/10.1109/mascot.2009.5366973openalex-snapshot
A simulation approach to evaluating design decisions in MapReduce setups
inferredcites →https://doi.org/10.1109/noms.2010.5488494openalex-snapshot
Performance-driven task co-scheduling for MapReduce environments
inferredcites →https://doi.org/10.1145/1327452.1327492openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/1629175.1629198openalex-snapshot
MapReduce
inferredcites →https://doi.org/10.1145/1807128.1807150openalex-snapshot
Towards automatic optimization of MapReduce programs
inferredcites →https://doi.org/10.1145/1810479.1810484openalex-snapshot
Assigning tasks for efficiency in Hadoop
inferredcites →https://doi.org/10.1145/1998582.1998637openalex-snapshot
ARIA
inferredcites →https://doi.org/10.1145/2188286.2188323openalex-snapshot
Apache hadoop performance-tuning methodologies and best practices
inferredcites →https://doi.org/10.1145/2287076.2287108openalex-snapshot
Understanding the effects and implications of compute node related failures in hadoop
inferredcites →https://doi.org/10.14778/1920841.1920903openalex-snapshot
The performance of MapReduce
inferredcites →https://doi.org/10.14778/1920841.1920906openalex-snapshot
MRShare
inferredcites →https://doi.org/10.48550/arxiv.1106.0940openalex-snapshot
Hadoop Performance Models

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/smr.2120openalex-snapshot
Testing MapReduce programs: A systematic mapping study
inferred← citeshttps://doi.org/10.1007/978-3-319-47063-4_33openalex-snapshot
A Case for Understanding End-to-End Performance of Topic Detection and Tracking Based Big Data Applications in the Cloud
inferred← citeshttps://doi.org/10.1007/s10586-018-2234-8openalex-snapshot
Towards optimal resource provisioning for Hadoop-MapReduce jobs using scale-out strategy and its performance analysis in private cloud environment
inferred← citeshttps://doi.org/10.1016/j.future.2018.01.047openalex-snapshot
A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications
inferred← citeshttps://doi.org/10.1109/cloud.2016.0034openalex-snapshot
Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms
inferred← citeshttps://doi.org/10.1109/tpds.2015.2405552openalex-snapshot
Hadoop Performance Modeling for Job Estimation and Resource Provisioning
inferred← citeshttps://doi.org/10.11591/ijai.v12.i3.pp1270-1280openalex-snapshot
Memory aware optimized Hadoop MapReduce model in cloud computing environment
inferred← citeshttps://doi.org/10.11591/ijai.v13.i2.pp1262-1271openalex-snapshot
Cost-aware optimal resource provisioning Map-Reduce scheduler for hadoop framework
inferred← citeshttps://doi.org/10.11591/ijece.v9i5.pp4396-4407openalex-snapshot
Optimized memory model for hadoop map reduce framework
inferred← citeshttps://doi.org/10.11591/ijeecs.v12.i3.pp1132-1142openalex-snapshot
An Accurate and Efficient Scheduler for Hadoop MapReduce Framework
inferred← citeshttps://doi.org/10.21786/bbrc/13.13/35openalex-snapshot
Memory and Performance Aware Scheduling Design for Hadoop MapReduce Framework
inferred← citeshttps://doi.org/10.25911/5d778a393a08bopenalex-snapshot
Layered performance modelling and evaluation for cloud topic detection and tracking based big data applications
inferred← citeshttps://doi.org/10.48550/arxiv.1612.01458openalex-snapshot
Support vector regression model for BigData systems
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.