Name
Abstract | ||
|---|---|---|
Modeling and scheduling diverse and dynamic workloads effectively has become a crucial issue due to the ever increasing scale and complexity of systems and applications in modern data centers. A large-scale cloud system consists of a large number of computing nodes, storage nodes and networking devices, running diverse workloads. Existing works analyzed execution traces in terms of resource usage ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IPDPSW52791.2021.00052 | 2021 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) |
Keywords | DocType | ISBN |
Cloud computing,Data centers,Distributed processing,Directed acyclic graph,Processor scheduling,Statistical analysis,Production | Conference | 978-1-6654-3577-2 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhaochen Gu | 1 | 0 | 1.35 |
| Sihai Tang | 2 | 16 | 4.54 |
| Beilei Jiang | 3 | 6 | 1.99 |
| Song Huang | 4 | 12 | 10.42 |
| Qiang Guan | 5 | 53 | 10.22 |
| Song Fu | 6 | 448 | 35.66 |