Optimizing Distributed Resource Allocation using Epistemic Game Theory: A Model-driven Engineering Approach

Fazle Rabbi, Lars Michael Kristensen, Yngve Lamo

2017

Abstract

Distributed systems modelling often involves a set of heterogeneous models where each model specifies a set of local constraints capturing a specific view of the system. In real life, distributed systems are often loosely connected and interdependencies are not defined into their software model. This limits the scope of optimization of distributed resources. In this paper, we merge heterogeneous models of distributed systems and articulate distributed resource constraints via inter-metamodel constraints. We apply model-driven engineering and use model transformation rules to construct an epistemic game theory model for the purpose of optimizing distributed resource allocation. Since the application of transformation rules normally do not guarantee the satisfaction of constraints when applied on a model, it requires a conformance checking which is an expensive operation. To overcome this problem, we introduce the concept of compliant rule and coordinate with other rules for efficient model transformation.

Paper Citation

in Harvard Style

Rabbi F., Kristensen L. and Lamo Y. (2017). Optimizing Distributed Resource Allocation using Epistemic Game Theory: A Model-driven Engineering Approach . In Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-210-3, pages 41-52. DOI: 10.5220/0006121400410052

in Bibtex Style

@conference{modelsward17,
author={Fazle Rabbi and Lars Michael Kristensen and Yngve Lamo},
title={Optimizing Distributed Resource Allocation using Epistemic Game Theory: A Model-driven Engineering Approach},
booktitle={Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2017},
pages={41-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006121400410052},
isbn={978-989-758-210-3},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Optimizing Distributed Resource Allocation using Epistemic Game Theory: A Model-driven Engineering Approach
SN - 978-989-758-210-3
AU - Rabbi F.
AU - Kristensen L.
AU - Lamo Y.
PY - 2017
SP - 41
EP - 52
DO - 10.5220/0006121400410052