Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Datasets
Press/Media
Activities
Fellowships, Honors, and Prizes
Impacts
Search by expertise, name or affiliation
End-to-End Optimization for Geo-Distributed MapReduce
Benjamin Heintz
,
Abhishek Chandra
, Ramesh K. Sitaraman
,
Jon Weissman
Computer Science and Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
45
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'End-to-End Optimization for Geo-Distributed MapReduce'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
MapReduce
100%
Geo-distributed
100%
Heterogeneous Networks
16%
Lack of Data
16%
Poor Performance
16%
Data-intensive Applications
16%
Planet Labs
16%
Optimization Techniques
16%
Network Behavior
16%
Oracle
16%
Two-pronged Approach
16%
Hadoop
16%
Computational Resources
16%
Amazon EC2
16%
Homogeneous Cluster
16%
Model Optimization
16%
Heterogeneous Computing
16%
Distributed Computation
16%
Execution Environment
16%
Data Locality
16%
Node Heterogeneity
16%
Phase Optimization
16%
Geo-distributed Data
16%
Network Heterogeneity
16%
Iterative Applications
16%
Computer Science
Map-Reduce
100%
Heterogeneous Network
20%
Optimization Technique
20%
Computing Environment
20%
Hadoop
20%
Iterative Application
20%
Distributed Computation
20%
Execution Environments
20%
Data Locality
20%
Mapreduce Phase
20%
Homogeneous Cluster
20%
Heterogeneous Computation
20%
data-intensive application
20%
Experimental Result
20%