Abstract
Cloud computing is a computing paradigm in which users can rent computing resources from service providers according to their requirements. A spot instance in cloud computing helps a user to obtain resources at a lower cost, but it may be unreliable. In this paper, we propose a workflow scheduling scheme to consider task processing rate. This scheme reduces the task waiting time and the rollback time when an out-of-bid situation occurs in an instance.
| Original language | English |
|---|---|
| Title of host publication | Frontier and Innovation in Future Computing and Communications |
| Editors | Albert Zomaya, James J. Park, Hwa-Young Jeong, Mohammad Obaidat |
| Publisher | Springer Verlag |
| Pages | 483-494 |
| Number of pages | 12 |
| ISBN (Electronic) | 9789401787970 |
| DOIs | |
| Publication status | Published - 2014 |
| Event | 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 - Auckland, New Zealand Duration: 2014 Jan 13 → 2014 Jan 16 |
Publication series
| Name | Lecture Notes in Electrical Engineering |
|---|---|
| Volume | 301 |
| ISSN (Print) | 1876-1100 |
| ISSN (Electronic) | 1876-1119 |
Other
| Other | 2014 FTRA International Symposium on Frontier and Innovation in Future Computing and Communications, FCC 2014 |
|---|---|
| Country/Territory | New Zealand |
| City | Auckland |
| Period | 14/1/13 → 14/1/16 |
Bibliographical note
Funding Information:This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 2013056346).
Publisher Copyright:
© Springer Science+Business Media Dordrecht 2014.
Keywords
- Cloud computing
- Fault tolerance
- Price history
- Spot instances
- Workflow
ASJC Scopus subject areas
- Industrial and Manufacturing Engineering