Name
Title | ||
|---|---|---|
Dynamic Resource Provisioning with Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud |
Abstract | ||
|---|---|---|
Cloud computing is a formidable paradigm to provide resources for handling the services from Industrial Internet of Things (IIoT), such as meteorological industry. Generally, the meteorological services, with complex interdependent logics, are modeled as workflows. When any of the computing nodes for hosting the meteorological workflows fail, all sorts of consequences (e.g., data loss, makespan en... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TII.2019.2959258 | IEEE Transactions on Industrial Informatics |
Keywords | DocType | Volume |
Task analysis,Cloud computing,Fault tolerance,Fault tolerant systems,Computational modeling,Dynamic scheduling,Mirrors | Journal | 16 |
Issue | ISSN | Citations |
9 | 1551-3203 | 2 |
PageRank | References | Authors |
0.36 | 0 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xu Xiaolong | 1 | 424 | 64.23 |
| Ruichao Mo | 2 | 3 | 1.04 |
| Fei Dai | 3 | 15 | 4.22 |
| Wenmin Lin | 4 | 66 | 6.80 |
| Shaohua Wan | 5 | 382 | 48.34 |
| Wanchun Dou | 6 | 878 | 96.01 |