Dynamic Monitoring in PANGEA Platform Using Event-Tracing Mechanisms

Authors

  • Luis Búrdalo Department of Computer Systems and Computation, Universitat Politècnica de València
  • Andrés Terrasa Department of Computer Systems and Computation, Universitat Politècnica de València
  • Vicente Julian Department of Computer Systems and Computation, Universitat Politècnica de València
  • Javier Bajo Departamento de Inteligencia Artificial, Universidad Politécnica de Madrid
  • Sara Rodríguez Departamento de Informática y Automática, Universidad de Salamanca
  • Juan Manuel Corchado Departamento de Informática y Automática, Universidad de Salamanca

Keywords:

Artificial intelligence, multi-agent systems, agent platforms, tracing systems, virtual organizations

Abstract

The use of distributed multi-agent systems (MAS) have increased in recent years, with the growing potential to handle large volumes of data and coordinate the operations of many organizations. In these systems, each agent independently handles a set of specialized tasks and cooperates to achieve the goals of the system and a high degree of flexibility. Multi-agent systems have become the most effective and widely used form of developing this type of application in which communication among various devices must be both reliable and efficient. One of the problems related to distribute computing is message passing, which is related to the interaction and coordination among intelligent agents. Consequently, a multi-agent architecture must necessarily provide a robust communication platform and control mechanisms. This paper presents the integration of an event-tracing model in an agent platform called PANGEA. Adding this new capability, the platform allows improving the monitoring and analysis of the information that agents can send/receive in order to fulfil their goals more efficiently.

Downloads

Download data is not yet available.

Author Biography

Vicente Julian, Department of Computer Systems and Computation, Universitat Politècnica de València

Vicente Julian holds a position of Associate Professor of Computer Science at the UPV where he has taught since 1996. Vicente Julian is member of the GTI-IA research group, and Deputy Director of the Official Master in Artificial Intelligence, Pattern Recognition and Digital Imaging at the UPV. Four international projects, two international excellence networks, twenty one Spanish projects and four technology transfer projects have covered the research on Artificial Intelligence. He has more than 50 works published in journals with outstanding positions in the list of the Journal Citation Reports, or published in conference proceedings that have a system of external peer review and dissemination of knowledge comparable to journals indexed in relevant positions. Moreover, he has more than 130 contributions and a h-index of 20, with more than 1400 citations to his published work. Vicente Julian has supervised 8 PhD Thesis. Gender: Male.

Downloads

Published

2017-12-19

How to Cite

Búrdalo, L., Terrasa, A., Julian, V., Bajo, J., Rodríguez, S., & Corchado, J. M. (2017). Dynamic Monitoring in PANGEA Platform Using Event-Tracing Mechanisms. Computing and Informatics, 36(5), 1019–1040. Retrieved from http://147.213.75.17/ojs/index.php/cai/article/view/2017_5_1019

Most read articles by the same author(s)