Name
Abstract | ||
|---|---|---|
To effectively utilize cloud computing, cloud practice and research require accurate knowledge of the performance of cloud applications. However, due to the random performance fluctuations, obtaining accurate performance results in the cloud is extremely difficult. To handle this random fluctuation, prior research on cloud performance testing relied on a non-parametric statistic tool called bootst... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ASE51524.2021.9678687 | 2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE) |
Keywords | DocType | ISBN |
Cloud computing,Fluctuations,Costs,Autocorrelation,Nonparametric statistics,Testing,Software engineering | Conference | 978-1-6654-0337-5 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sen He | 1 | 2 | 2.07 |
| Tianyi Liu | 2 | 0 | 0.68 |
| Palden Lama | 3 | 304 | 15.20 |
| Lee Jaewoo | 4 | 6 | 3.49 |
| In Kee Kim | 5 | 31 | 6.95 |
| Wei Wang | 6 | 1474 | 152.25 |