Skew Mitigation
Skew Mitigation is a data partitioning strategy that addresses the uneven distribution of data across partitions by dynamically redistributing workloads or adjusting partition boundaries to balance resource utilization and improve system performance.
186
Publications
7.1K
Citations
546
Authors
208
Institutions
Publications per year
2017–2026
29
Parents
186
1–5 of 186
546
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1–5 of 546
208
Intel (United States)
Santa Clara, United States
8 h-index
29 publications
4.5K citations
IBM (United States)
Armonk, United States
8 h-index
20 publications
346 citations

National Taiwan University
Taipei, Taiwan
7 h-index
23 publications
566 citations
Texas A&M University
College Station, United States
6 h-index
9 publications
190 citations
The University of Texas at Austin
Austin, United States
6 h-index
11 publications
278 citations
IBM Research - Austin
Austin, United States
6 h-index
11 publications
247 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
10 publications
121 citations

National University of Defense Technology
Changsha, China
4 h-index
14 publications
420 citations
1–8 of 208
7 publications · 870 citations
7
h-index
6 publications · 203 citations
6
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TPDS · 4 publications · 186 citations
4
h-index
3 publications · 90 citations
3
h-index
2 publications · 93 citations
2
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1–5