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Optimizing end-to-end performance of data-intensive computing pipelines in heterogeneous network environments
Qishi Wu
, Yi Gu
Research output
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Contribution to journal
›
Article
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peer-review
12
Scopus citations
Overview
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Dive into the research topics of 'Optimizing end-to-end performance of data-intensive computing pipelines in heterogeneous network environments'. Together they form a unique fingerprint.
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Keyphrases
Heterogeneous Networks
100%
Computational pipeline
100%
Data-intensive Computing
100%
Scientific Applications
33%
Optimization Objectives
33%
Dynamic Programming
33%
Large Set
33%
Mapping Problem
33%
Wide Area Networks
33%
Single Input
33%
Heuristic Algorithms
33%
NP-completeness
33%
Optimization Procedure
33%
Network Constraints
33%
Streaming Applications
33%
Pipeline Mapping
33%
High Performance Data
33%
Computer Science
End Performance
100%
heterogeneous network environment
100%
End-to-End Delay
100%
Pipeline Computing
100%
Optimisation Objective
33%
Scientific Application
33%
Dynamic Programming
33%
Performance Data
33%
Wide Area Network
33%
NP-completeness
33%
Heuristic-Based Algorithm
33%
Network Constraint
33%