Server Utilization is a performance metric in queueing theory that quantifies the proportion of time a server is occupied with processing tasks in a multi-server system, distinguishing it from related metrics by focusing specifically on individual server engagement relative to total available service capacity.
406
Publications
24.9K
Citations
1.1K
Authors
373
Institutions
Publications per year
2017–2026
80
Variants
Server Occupancy
Parents
Publications
406
1–5 of 406
Authors
1.1K
- LT
6
h-index
- JM
6
h-index
- AT
6
h-index
- TF
5
h-index
- HY
5
h-index
1–5 of 1.1K
Institutions
373
IBM (United States)
Armonk, United States
18 h-index
55 publications
8K citations
Carnegie Mellon University
Pittsburgh, United States
13 h-index
30 publications
3.2K citations
University of Michigan
Ann Arbor, United States
13 h-index
32 publications
4K citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
13 h-index
32 publications
2.1K citations
Hewlett-Packard (United States)
Palo Alto, United States
9 h-index
16 publications
1.4K citations
Georgia Institute of Technology
Atlanta, United States
8 h-index
17 publications
1.9K citations
Technion – Israel Institute of Technology
Haifa, Israel
7 h-index
9 publications
799 citations
Microsoft (United States)
Redmond, United States
6 h-index
17 publications
1.7K citations
1–8 of 373
Venues
- IEEE Transactions on Parallel and Distributed Systems
TPDS · 10 publications · 1.5K citations
10
h-index
- Operations Research
9 publications · 429 citations
9
h-index
- Performance Evaluation
8 publications · 405 citations
8
h-index
- Queueing Systems
7 publications · 175 citations
7
h-index
- ACM SIGMETRICS Performance Evaluation Review
PER · 7 publications · 778 citations
7
h-index
1–5