Contribution Resource Fairness with Time Constraints in Cloud Computing

DOI

10.2991/iiicec-15.2015.185How to use a DOI?

Keywords

Contribution resource fairness; Cloud computing; Time constraints

Abstract

Fair resource is a key building block of any shared computing system. Recently fair division theory has emerged as a promising approach for the allocation of multiple computational resources among users. We have introduced Contribution Resource Fairness (CRF), a fair sharing model that generalizes max-min fairness to multiple resource types. CRF has lots of good properties, it satisfies DSI, EF,PE and SP. CRF think about the using mutual resources and allocating resources based on the contribution value to improve the overall effectiveness of the system. If users stay the system more longer, the resources which user contributes will be use more longer by other users and contribution value of her will be more bigger. So she can get more resources when she need by CRF. We construct CRF mechanisms that provably satisfy properties and experimental results can potentially improve the efficiency to the point where the system capacity is almost saturated.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Hongying Luo
PY  - 2015/03
DA  - 2015/03
TI  - Contribution Resource Fairness with Time Constraints in Cloud Computing
BT  - Proceedings of the 2015 International Industrial Informatics and Computer Engineering Conference
PB  - Atlantis Press
SP  - 824
EP  - 830
SN  - 2352-538X
UR  - https://doi.org/10.2991/iiicec-15.2015.185
DO  - 10.2991/iiicec-15.2015.185
ID  - Luo2015/03
ER  -