Data Tiering is a storage management strategy that classifies and migrates data across hierarchical storage levels based on access frequency, performance requirements, and cost considerations to optimize overall storage efficiency and performance.
7
Publications
327
Citations
35
Authors
12
Institutions
Publications per year
2017–2026
4
Publications
7
Data tiering in heterogeneous memory systems
Subramanya R. Dulloor, Amitabha Roy, Zheguang Zhao et al. · 2016 · 204 citations
A Novel Automated Cloud Storage Tiering System through Hot-Cold Data Classification
Ying-Feng Hsu, Ryo Irie, Shuuichirou Murata et al. · 2018 · 24 citations
MemBrain: Automated Application Guidance for Hybrid Memory Systems
M. Ben Olson, Tong Zhou, Michael R. Jantz et al. · 2018 · 17 citations
1–5 of 7
Authors
35
- IH
1
h-index
- DG
1
h-index
- CB
1
h-index
- SS
1
h-index
- MB
1
h-index
1–5 of 35
Institutions
12
Oak Ridge National Laboratory
Oak Ridge, United States
2 h-index
9 publications
146 citations
Intel (United States)
Santa Clara, United States
2 h-index
7 publications
1.2K citations
Knoxville College
Knoxville, United States
1 h-index
1 publications
17 citations
Software Research Associates (Japan)
Tokyo, Japan
1 h-index
1 publications
24 citations
University of Tennessee at Knoxville
Knoxville, United States
1 h-index
3 publications
51 citations
German Jordanian University
Amman, Jordan
1 h-index
3 publications
36 citations
Sharif University of Technology
Tehran, Iran
1 h-index
3 publications
78 citations
Brunel University of London
London, United Kingdom
1 h-index
1 publications
12 citations
1–8 of 12
Venues
- Security and Communication Networks
1 publications · 12 citations
1
h-index
- The Journal of Supercomputing
1 publications · 26 citations
1
h-index
- Journal of eScience Librarianship
JESLIB · 1 publications · 28 citations
1
h-index
- arXiv (Cornell University)
Repository · 1 publications · 10 citations
- Expert Systems with Applications
1 publications · 12 citations
1–5