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Optimizing end-to-end performance of data-intensive computing pipelines in heterogeneous network environments
Chase Wu
, Yi Gu
Research output
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Contribution to journal
›
Article
›
peer-review
11
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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Mathematics
End-to-end Delay
100%
Heterogeneous Networks
86%
Reuse
50%
Computing
34%
Performance
32%
Optimization
28%
Streaming
24%
High Performance
23%
NP-completeness
22%
Heuristic algorithm
21%
Vertex of a graph
20%
Large Set
19%
Arbitrary
19%
Dynamic Programming
18%
Heuristics
15%
Optimal Solution
15%
Simulation
11%
Design
11%
Class
5%
Engineering & Materials Science
Heterogeneous networks
57%
Pipelines
42%
Wide area networks
21%
Heuristic algorithms
18%
Dynamic programming
17%