Data Transfer Cost Optimization
Data Transfer Cost Optimization is a methodological framework within the broader domain of cost optimization that specifically focuses on minimizing expenses associated with the movement of data across networks, storage systems, or cloud environments by strategically managing routing, scheduling, compression, and resource allocation.
24
Publications
983
Citations
100
Authors
43
Institutions
Publications per year
2017–2026
6
Parents
24
Ashish Vulimiri, Carlo Curino, P. Brighten Godfrey et al. · 2015 · 132 citations
GPU-Accelerated Subgraph Enumeration on Partitioned Graphs
Wentian Guo, Yuchen Li, Mo Sha et al. · 2020 · 66 citations
1–5 of 24
100
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43

Hong Kong University of Science and Technology
Hong Kong, Hong Kong
3 h-index
9 publications
585 citations
University of Illinois Urbana-Champaign
Urbana, United States
2 h-index
4 publications
128 citations

Indian Institute of Science Bangalore
Bengaluru, India
1 h-index
2 publications
20 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
1 h-index
1 publications
54 citations
Amirkabir University of Technology
Tehran, Iran
1 h-index
1 publications
16 citations
Islamic Azad University, Bonab Branch
Bonāb, Iran
1 h-index
2 publications
32 citations
Fujian Normal University
Fuzhou, China
1 h-index
1 publications
54 citations

University of Manchester
Manchester, United Kingdom
1 h-index
2 publications
58 citations
1–8 of 43
2 publications · 148 citations
2
h-index
2 publications · 39 citations
2
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1 publications · 43 citations
1
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1 publications · 47 citations
1
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1 publications · 35 citations
1
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