Name
Abstract | ||
|---|---|---|
Basic science is becoming ever more computationally intensive, increasing the need for large-scale compute and storage resources, be they within a High Performance Computer cluster, or more recently within the cloud. In most cases, large scale scientific computation is represented as a workflow for scheduling and runtime provisioning. Such scheduling become an even more challenging problem on clou... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TPDS.2018.2849396 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Task analysis,Cloud computing,Dynamic scheduling,Scheduling algorithms,Schedules | Virtualization,Job shop scheduling,Computer science,Scheduling (computing),Provisioning,Schedule,Dynamic priority scheduling,Workflow,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
30 | 1 | 1045-9219 |
Citations | PageRank | References |
8 | 0.43 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Vahid Arabnejad | 1 | 30 | 3.13 |
| Kris Bubendorfer | 2 | 341 | 29.28 |
| Bryan Ng | 3 | 100 | 20.84 |