Log Compression is a log management technique that reduces the storage footprint and transmission overhead of log data through algorithmic encoding, distinguishing itself from other log management methods by prioritizing efficient archival and retrieval through minimized data volume.
46
Publications
3.9K
Citations
134
Authors
64
Institutions
Publications per year
2017–2026
9
Parents
Publications
46
1–5 of 46
Authors
134
- MR
3
h-index
- JK
3
h-index
- MB
2
h-index
- IS
2
h-index
- NW
2
h-index
1–5 of 134
Institutions
64
University of California, Berkeley
Berkeley, United States
3 h-index
6 publications
4.6K citations
Queen's University
Kingston, Canada
2 h-index
5 publications
136 citations
Concordia University
Montreal, Canada
2 h-index
2 publications
53 citations
Shanghai Jiao Tong University
Shanghai, China
2 h-index
8 publications
246 citations
AT&T (United States)
Bedminster, United States
2 h-index
6 publications
313 citations
Instituto de Microelectrónica de Sevilla
Seville, Spain
2 h-index
9 publications
455 citations
University of Kaiserslautern
Kaiserslautern, Germany
2 h-index
5 publications
62 citations
New Mexico State University
Las Cruces, United States
1 h-index
2 publications
130 citations
1–8 of 64
Venues
- IEEE Transactions on Software Engineering
TSE · 2 publications · 108 citations
2
h-index
- Electronics Letters
1 publications · 28 citations
1
h-index
- ACM SIGPLAN Notices
1 publications · 13 citations
1
h-index
- Data & Knowledge Engineering
DKE · 1 publications · 61 citations
1
h-index
- ACM Transactions on Computer Systems
TOCS · 1 publications · 1.3K citations
1
h-index
1–5