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

Castro Escudero, Alfonso and Sedano, Andrés and García Algarra, Francisco Javier and Villoslada, Eduardo and Villagrá González, Víctor Abraham (2018). Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis. "Sensors", v. 21 (n. 1); p. 68. ISSN 1424-8220. https://doi.org/10.3390/s18010068.

Description

Title: Application of a Multimedia Service and Resource Management Architecture for Fault Diagnosis
Author/s:
  • Castro Escudero, Alfonso
  • Sedano, Andrés
  • García Algarra, Francisco Javier
  • Villoslada, Eduardo
  • Villagrá González, Víctor Abraham
Item Type: Article
Título de Revista/Publicación: Sensors
Date: 2018
ISSN: 1424-8220
Volume: 21
Subjects:
Freetext Keywords: Autonomic Communication, self-provisioning, knowledge-based management
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
Creative Commons Licenses: None

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Abstract

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.

More information

Item ID: 69132
DC Identifier: https://oa.upm.es/69132/
OAI Identifier: oai:oa.upm.es:69132
DOI: 10.3390/s18010068
Official URL: https://www.mdpi.com/1424-8220/18/1/68/htm
Deposited by: Alfonso Castro
Deposited on: 28 Nov 2021 20:38
Last Modified: 28 Nov 2021 20:38
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