Personalized fair reputation based resource allocation in grid

Authors:
QingYuan Huang;YongJun Wang;JinShu Su;YingZhi Zeng
Affiliations:
School of Computer, National University of Defense Technology, ChangSha, Hunan, China;School of Computer, National University of Defense Technology, ChangSha, Hunan, China;School of Computer, National University of Defense Technology, ChangSha, Hunan, China;School of Computer, National University of Defense Technology, ChangSha, Hunan, China
Venue:
ADVIS'06 Proceedings of the 4th international conference on Advances in Information Systems
Year:
2006

Citing 8
Cited 0

The grid: blueprint for a new computing infrastructure

The grid: blueprint for a new computing infrastructure
Mechanisms for coping with unfair ratings and discriminatory behavior in online reputation reporting systems

ICIS '00 Proceedings of the twenty first international conference on Information systems
Grid Services for Distributed System Integration

Computer
The Eigentrust algorithm for reputation management in P2P networks

WWW '03 Proceedings of the 12th international conference on World Wide Web
Integrating Trust into Grid Resource Management Systems

ICPP '02 Proceedings of the 2002 International Conference on Parallel Processing
P-Grid: a self-organizing structured P2P system

ACM SIGMOD Record
Discouraging Free Riding in a Peer-to-Peer CPU-Sharing Grid

HPDC '04 Proceedings of the 13th IEEE International Symposium on High Performance Distributed Computing
The Anatomy of the Grid: Enabling Scalable Virtual Organizations

International Journal of High Performance Computing Applications

Quantified Score

Hi-index	0.00

Visualization

Abstract

Efficient resource allocation for submitted task is one of the main challenges in grid computing. Much work in this aspect has focused on resource discovery and usage. Resource allocation, which is an interface between resource discovery and usage, is always unvalued in the past while some resource owners may provide resources with poor quality. A personalized fair reputation scheme is proposed in this paper to overcome these limitations and to encourage collaboration in grid community. We present minimum and maximum threshold for reputation from other entities to decrease malicious competition. A rewarding mechanism is also proposed in our reputation scheme to encourage collaboration. Then we present how to integrate our reputation scheme into grid resource allocation approach. Experimental results show that our approach can work in the environment with high ratio of malicious nodes in grid.