Burst Handling
Burst Handling is a scalability mechanism in serverless database architectures that enables rapid allocation and deallocation of computational resources to accommodate sudden, unpredictable increases in workload demand while maintaining performance and cost efficiency.
114
Publications
10K
Citations
404
Authors
178
Institutions
Publications per year
2017–2026
23
114
1–5 of 114
404
5
h-index
University of Massachusetts Dartmouth, United States
5 publications · 266 citations
5
h-index
3
h-index
3
h-index
3
h-index
1–5 of 404
178
The University of Texas at Dallas
Richardson, United States
5 h-index
14 publications
1.6K citations
Hewlett-Packard (United States)
Palo Alto, United States
4 h-index
4 publications
260 citations
University of California, Berkeley
Berkeley, United States
4 h-index
6 publications
195 citations
Ben-Gurion University of the Negev
Beersheba, Israel
3 h-index
3 publications
230 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
3 h-index
7 publications
228 citations
AT&T (United States)
Bedminster, United States
3 h-index
6 publications
115 citations

The University of Melbourne
Melbourne, Australia
3 h-index
9 publications
837 citations
William & Mary
Williamsburg, United States
3 h-index
8 publications
325 citations
1–8 of 178
5 publications · 123 citations
5
h-index
4 publications · 3.4K citations
4
h-index
3 publications · 60 citations
3
h-index
3 publications · 88 citations
3
h-index
2 publications · 66 citations
2
h-index
1–5