Name
Abstract | ||
|---|---|---|
Modern scientific workflows are data-driven and are often executed on distributed, heterogeneous, high-performance computing infrastructures. Anomalies and failures in the work-flow execution cause loss of scientific productivity and inefficient use of the infrastructure. Hence, detecting, diagnosing, and mitigating these anomalies are immensely important for reliable and performant scientific wor... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/MSR52588.2021.00013 | 2021 IEEE/ACM 18th International Conference on Mining Software Repositories (MSR) |
Keywords | DocType | ISSN |
Radio frequency,Tools,Data transfer,Data models,Software,Software reliability,Tuning | Conference | 2160-1852 |
ISBN | Citations | PageRank |
978-1-7281-8710-5 | 1 | 0.35 |
References | Authors | |
0 | 7 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Huy Tu | 1 | 1 | 0.68 |
| George Papadimitriou | 2 | 14 | 2.62 |
| Mariam Kiran | 3 | 121 | 17.83 |
| Cong Wang | 4 | 28 | 4.58 |
| Anirban Mandal | 5 | 550 | 40.69 |
| Ewa Deelman | 6 | 5948 | 420.48 |
| Timothy Menzies | 7 | 150 | 17.50 |