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A Utility-Based Reputation Model for Grid Resource Management System

In: Computing and Informatics, vol. 33, no. 5
O. Kussul - N. Kussul - S. Skakun

Details:

Year, pages: 2014, 1139 - 1167
Keywords:
Computational grids, reputation model, scheduling algorithm, resource allocation, utility computing, neural network
About article:
In this paper we propose extensions to the existing utility-based reputation model for virtual organizations (VOs) in grids, and present a novel approach for integrating reputation into grid resource management system. The proposed extensions include: incorporation of statistical model of user behaviour (SMUB) to assess user reputation; a new approach for assigning initial reputation to a new entity in a VO; capturing alliance between consumer and resource; time decay and score functions. The addition of the SMUB model provides robustness and dynamics to the user reputation model comparing to the policy-based user reputation model in terms of adapting to user actions. We consider a problem of integrating reputation into grid scheduler as a multi-criteria optimization problem. A non-linear trade-off scheme is applied to form a composition of partial criteria to provide a single objective function. The advantage of using such a scheme is that it provides a Pareto-optimal solution partially satisfying criteria with corresponding weights. Experiments were run to evaluate performance of the model in terms of resource management using data collected within the EGEE Grid-Observatory project. Results of simulations showed that on average a 45 % gain in performance can be achieved when using a reputation-based resource scheduling algorithm.
How to cite:
ISO 690:
Kussul, O., Kussul, N., Skakun, S. 2014. A Utility-Based Reputation Model for Grid Resource Management System. In Computing and Informatics, vol. 33, no.5, pp. 1139-1167. 1335-9150.

APA:
Kussul, O., Kussul, N., Skakun, S. (2014). A Utility-Based Reputation Model for Grid Resource Management System. Computing and Informatics, 33(5), 1139-1167. 1335-9150.