Log Record Structure
Log Record Structure is a formal schema that defines the syntactic and semantic organization of individual entries within an audit log, distinguishing it from other logging components by specifying the mandatory and optional fields, data types, and formatting conventions required to ensure consistency, interpretability, and traceability of system events.
14
Publications
531
Citations
41
Authors
18
Institutions
Publications per year
2017–2026
1
Parents
14
Blurred persistence in transactional persistent memory
Navigating the Data Lake with DATAMARAN
Yihan Gao, Silu Huang, Aditya Parameswaran · 2018 · 50 citations · Full text
1–5 of 14
41
University of Tennessee at Knoxville, United States
2 publications · 41 citations
2
h-index
2
h-index
2
h-index
Technological Educational Institute of Central Macedonia, Greece
1 publications · 15 citations
1
h-index
1
h-index
1–5 of 41
18
University of Tennessee at Knoxville
Knoxville, United States
2 h-index
10 publications
188 citations

University of Jyväskylä
Jyväskylä, Finland
2 h-index
4 publications
136 citations

TU Wien
Vienna, Austria
1 h-index
1 publications
27 citations
IBM Research - Almaden
San Jose, United States
1 h-index
2 publications
34 citations
University of California, Santa Barbara
Santa Barbara, United States
1 h-index
1 publications
131 citations
University of Applied Sciences Potsdam
Potsdam, Germany
1 h-index
5 publications
95 citations

University of Helsinki
Helsinki, Finland
1 h-index
1 publications
47 citations
Microsoft Research (United Kingdom)
Cambridge, United Kingdom
1 h-index
2 publications
262 citations
1–8 of 18
2 publications · 41 citations
2
h-index
1 publications · 27 citations
1
h-index
1 publications · 47 citations
1
h-index
Conference · 1 publications · 12 citations
1
h-index
1–4