Design and evaluation of an autonomic platform for the development of synchronous e-learning activities

Article type: Other

Authors: Huergo, Pelayo Nuño^{; *} | Granda Candás, Juan Carlos

Affiliations: Department of Computer Science, University of Oviedo, Gijón, Spain. E-mails: nunopelayo@uniovi.es, jcgranda@uniovi.es

Correspondence: [*] Corresponding author. E-mail: nunopelayo@uniovi.es.

Abstract: This thesis is focused on the study of the Autonomic Computing (AC) paradigm within the scope of Multimedia Communication Systems (MCSs). Specifically, it analyzes the set of autonomic properties and identifies the properties that can be observed in MCSs, specially those suitable to be implemented in a synchronous e-learning platform. Based on this analysis, the aim of this thesis is to design a self-managed multimedia distribution platform for developing synchronous e-learning activities, providing an efficient data delivery service and minimizing the required human intervention. The self-healing and self-optimization techniques of this platform use heuristics to select optimal data distribution paths is spite of failures and member joining and leaving.

Keywords: Autonomic computing, self-*, synchronous, e-learning

DOI: 10.3233/AIC-150663

Journal: AI Communications, vol. 29, no. 2, pp. 401-403, 2016