CLOSURE: A cloud scientific workflow scheduling algorithm based on attack-defense game model
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 953
- Type
- D - Journal article
- DOI
-
10.1016/j.future.2019.11.003
- Title of journal
- Future Generation Computer Systems: the international journal of grid computing: theory, methods and applications
- Article number
- -
- First page
- 460
- Volume
- 111
- Issue
- -
- ISSN
- 0167-739X
- Open access status
- Compliant
- Month of publication
- November
- Year of publication
- 2019
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper is an output of an international collaboration with researchers in China, supported by five grants, e.g. 2018YFB0804004 and 2018YFB1003700 from the National Key Research and Development Program of China. It presents a scheduling algorithm to make the defence strategies of multi-tenant coexistence cloud services more dynamic for stronger resilience against cyberattacks. The algorithm evaluation shows its benefits over related work.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
