Workload Profiling
Workload Profiling is a methodological construct in migration planning that systematically characterizes the computational, operational, and resource demands of an existing system to inform the design and execution of its transfer to a target environment.
92
Publications
4.7K
Citations
311
Authors
148
Institutions
Publications per year
2017–2026
24
Parents
92
Allan Stisen, Henrik Blunck, Sourav Bhattacharya et al. · 2015 · 696 citations
Making sense of performance in data analytics frameworks
Kay Ousterhout, Ryan Rasti, Sylvia Ratnasamy et al. · Networked Systems Design and Implementation · 2015 · 332 citations
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University of California, Berkeley, United States
3 publications · 228 citations
3
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3
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1–5 of 311
148
Argonne National Laboratory
Lemont, United States
4 h-index
16 publications
652 citations
IBM (United States)
Armonk, United States
3 h-index
4 publications
53 citations

The University of Sydney
Sydney, Australia
3 h-index
7 publications
475 citations
Seoul National University
Seoul, South Korea
2 h-index
2 publications
371 citations

Barcelona Supercomputing Center
Barcelona, Spain
2 h-index
2 publications
28 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
5 publications
1K citations
Microsoft (United States)
Redmond, United States
2 h-index
4 publications
248 citations

University of Hong Kong
Pok Fu Lam, Hong Kong
2 h-index
6 publications
513 citations
1–8 of 148
TPDS · 3 publications · 120 citations
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Repository · 2 publications · 185 citations
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2 publications · 33 citations
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2 publications · 29 citations
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1 publications · 29 citations
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