Tail-based Sampling
Tail-Based Sampling is a distributed tracing sampling strategy that belongs to the class of trace-level sampling techniques, distinguished by its decision-making process which occurs after the entire trace has been observed, enabling selective retention of traces based on their complete runtime characteristics.
17
Publications
720
Citations
46
Authors
23
Institutions
Publications per year
2017–2026
2
Parents
17
Charging from sampled network usage
Nick Duffield, Carsten Lund, Mikkel Thorup · 2001 · 179 citations
Control of Percentages in Both Tails of the Normal Distribution
D. B. Owen · Technometrics · 1964 · 63 citations
1–5 of 17
46
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 46
23
AT&T (United States)
Bedminster, United States
2 h-index
6 publications
600 citations
Sandia National Laboratories California
Livermore, United States
2 h-index
2 publications
82 citations
Arizona State University
Tempe, United States
1 h-index
2 publications
94 citations
National Kaohsiung University of Science and Technology
Kaohsiung City, Taiwan
1 h-index
2 publications
28 citations
The Ohio State University
Columbus, United States
1 h-index
1 publications
40 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
1 h-index
1 publications
16 citations
TU Dortmund University
Dortmund, Germany
1 h-index
1 publications
13 citations

Weber State University
Ogden, United States
1 h-index
1 publications
86 citations
1–8 of 23
2 publications · 77 citations
2
h-index
2 publications · 128 citations
2
h-index
2 publications · 82 citations
2
h-index
1 publications · 14 citations
1
h-index
1 publications · 15 citations
1
h-index
1–5