A real-life application of multi-agent systems for fault diagnosis in the provision of an Internet business service

Carrera, Álvaro; Iglesias, Carlos Á.; García-Algarra, Javier; Kolařík, Dušan

doi:10.1016/j.jnca.2012.11.004

Cited by 19 publications

(13 citation statements)

References 12 publications

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“…In a previous work [1], we proposed an architecture with a Multi Agent System based on an extended Belief–Desire–Intention (BDI) model that combines heterogeneous reasoning processes, ontology-based reasoning and Bayesian reasoning. The architecture was deployed at Telefónica O2 Czech Republic to manage an Internet Business service but only in a controlled environment and with a reduced number of service management areas.…”

Section: Related Workmentioning

confidence: 99%

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Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis

Castro

Sedano

García

et al. 2017

Sensors

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Nowadays, the complexity of global video products has substantially increased. They are composed of several associated services whose functionalities need to adapt across heterogeneous networks with different technologies and administrative domains. Each of these domains has different operational procedures; therefore, the comprehensive management of multi-domain services presents serious challenges. This paper discusses an approach to service management linking fault diagnosis system and Business Processes for Telefónica’s global video service. The main contribution of this paper is the proposal of an extended service management architecture based on Multi Agent Systems able to integrate the fault diagnosis with other different service management functionalities. This architecture includes a distributed set of agents able to coordinate their actions under the umbrella of a Shared Knowledge Plane, inferring and sharing their knowledge with semantic techniques and three types of automatic reasoning: heterogeneous, ontology-based and Bayesian reasoning. This proposal has been deployed and validated in a real scenario in the video service offered by Telefónica Latam.

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Section: Related Workmentioning

confidence: 99%

“…To solve the fault diagnosis problem, this extended architecture includes a specific Multi-Agent System with Bayesian reasoning [1], which has been applied to video service management. The integration with the other service management functionalities is provided with an ontology-based global reasoning agent system.…”

Section: Introductionmentioning

confidence: 99%

Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis

Castro

Sedano

García

et al. 2017

Sensors

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“…Por otra parte, los agentes inteligentes corresponden a entidades computacionales autónomas y con capacidad para ejecutar tareas y lograr sus metas con un mínimo de supervisión humana o incluso ninguna. Para Caicedo y Weiss (2011) son características que deberían poseer los agentes para trabajar efectivamente (Carrera et al, 2014): a) reactividad: responden inmediatamente a los cambios percibidos en su entorno; b) distribución de tareas: cada agente tiene funcionalidades bien definidas e identifica los problemas a resolver; c) proactividad: los agentes toman iniciativa para la solución de problemas; d) cooperación y coordinación: realizan tareas por medio de intercambio de mensajes con otros agentes a través de un lenguaje común; e) autonomía: los agentes no requieren de la intervención directa de los seres humanos para operar; f) deliberación: cada agente tiene la capacidad de realizar procesos de razonamiento interno los cuales le permitan tomar decisiones; g) movilidad: pueden moverse de un nodo a otro a través de la red; h) adaptación: a partir de los cambios en el entorno cambian su comportamiento y mejoran de esta forma su desempeño, y finalmente i) paralelismo: el sistema puede mejorar su desempeño a través de la ejecución de tareas realizadas en paralelo por los agentes.…”

Section: Introductionunclassified

Modelo de juego serio colaborativo basado en agentes inteligentes para apoyar procesos virtuales de aprendizaje

2020

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“…The method proposed in this paper is based on a previous work, which consisted of an MAS for fault diagnosis deployed in a real-telecommunication network [25]. In that MAS, the diagnosis process starts with a request made by a human operator, which offers the first evidence of a fault.…”

Section: Introductionmentioning

confidence: 99%

A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks

Carrera

Alonso

Iglesias

2019

Sensors

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Traditionally, fault diagnosis in telecommunication network management is carried out by humans who use software support systems. The phenomenal growth in telecommunication networks has nonetheless triggered the interest in more autonomous approaches, capable of coping with emergent challenges such as the need to diagnose faults’ root causes under uncertainty in geographically-distributed environments, with restrictions on data privacy. In this paper, we present a framework for distributed fault diagnosis under uncertainty based on an argumentative framework for multi-agent systems. In our approach, agents collaborate to reach conclusions by arguing in unpredictable scenarios. The observations collected from the network are used to infer possible fault root causes using Bayesian networks as causal models for the diagnosis process. Hypotheses about those fault root causes are discussed by agents in an argumentative dialogue to achieve a reliable conclusion. During that dialogue, agents handle the uncertainty of the diagnosis process, taking care of keeping data privacy among them. The proposed approach is compared against existing alternatives using benchmark multi-domain datasets. Moreover, we include data collected from a previous fault diagnosis system running in a telecommunication network for one and a half years. Results show that the proposed approach is suitable for the motivational scenario.

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A real-life application of multi-agent systems for fault diagnosis in the provision of an Internet business service

Cited by 19 publications

References 12 publications

Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis

Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis

Modelo de juego serio colaborativo basado en agentes inteligentes para apoyar procesos virtuales de aprendizaje

A Bayesian Argumentation Framework for Distributed Fault Diagnosis in Telecommunication Networks

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