Exploiting dynamic weaving for self-managed agents in the iot

Authors:
Inmaculada Ayala;Mercedes Amor Pinilla;Lidia Fuentes
Affiliations:
Departamento de Lenguajes y Ciencias de la Computació/n, Universidad de M$#225/laga, M$#225/laga, Spain;Departamento de Lenguajes y Ciencias de la Computació/n, Universidad de M$#225/laga, M$#225/laga, Spain;Departamento de Lenguajes y Ciencias de la Computació/n, Universidad de M$#225/laga, M$#225/laga, Spain
Venue:
MATES'12 Proceedings of the 10th German conference on Multiagent System Technologies
Year:
2012

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Abstract

Agents are a good option to develop Internet of Things (IoT) systems with self-management capacities. Current agent technology offers the necessary means to manage many of the requirements of self-management satisfactorily, however agent approaches for lightweight devices do not provide support for self-configuring agents' internal functionality adequately. This paper describes part of the Self-StarMAS approach for self-managing the IoT, which uses aspect-oriented mechanisms to model self-managing tasks. Aspect-orientation facilitates the adaptation and reconfiguration of the Self-StarMAS agents' internal architecture. This paper focuses on describing the internal composition of aspects, which is performed by an internal weaver at runtime.