Data Compression For Transfers
Data Compression for Transfers is a data optimization technique that reduces the volume of data transmitted across systems or networks by encoding information more efficiently, specifically to minimize bandwidth usage and accelerate transfer speeds in distributed computing environments.
13
Publications
292
Citations
32
Authors
15
Institutions
Publications per year
2017–2026
4
Parents
13
32
2
h-index
1
h-index
1
h-index
Institut national de recherche en sciences et technologies du numérique, France
1 publications · 11 citations
1
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1
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1–5 of 32
15

University of Strathclyde
Glasgow, United Kingdom
2 h-index
6 publications
75 citations
Keysight Technologies (United Kingdom)
Queensferry, United Kingdom
2 h-index
4 publications
50 citations
University of Michigan
Ann Arbor, United States
1 h-index
1 publications
71 citations
IBM (Canada)
Markham, Canada
1 h-index
2 publications
30 citations
Nanyang Technological University
Singapore, Singapore
1 h-index
1 publications
71 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
2 publications
116 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
1 h-index
2 publications
34 citations
Multimedia University
Malacca, Malaysia
1 h-index
4 publications
68 citations
1–8 of 15
TKDE · 1 publications · 71 citations
1
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TPDS · 1 publications · 58 citations
1
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Repository · 1 publications · 17 citations
1
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Repository · 1 publications · 14 citations
1
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1 publications · 13 citations
1
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1–5