Multi-class resource sharing with batch arrivals
- Submitting institution
-
University of Newcastle upon Tyne
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 252099-62181-1292
- Type
- D - Journal article
- DOI
-
10.1017/S0269964818000323
- Title of journal
- Probability in the Engineering and Informational Sciences
- Article number
- -
- First page
- 348
- Volume
- 33
- Issue
- 3
- ISSN
- 0269-9648
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2018
- URL
-
https://doi.org/10.1017/S0269964818000323
- 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
-
1
- Research group(s)
-
D - Scalable Computing
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This is a significant contribution to a series of papers by the authors addressing resource provisioning in very large scale cloud settings. It motivates and addresses a specific case of users desiring all resources they enlist be granted or none – complete blocking policy in provisioning. It proves that the canonical product-form solution in the literature is incorrect and any alternative must tend to suffer from problems of scale. It presents numerically-stable, fixed-point approximation algorithms, both for complete and partial blocking, and demonstrates their potentials to scale to very large systems with good accuracy.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -