Abstract
An approach to study Distributed artificial intelligence is through software agent-based intelligent systems. Instead of having a large centralized system that collects complete system information, there is a small number of subsystems or agents, which are focused on the effort to cooperate to solve a given problem. Agents can communicate with each other, exchange views and find various strategies to obtain a specific solution. Due to the exponential growth of network devices and the massive use of broadband networks, current centralized management systems are reaching limits in terms of managing the amount of information to be managed, which is why distributed management based on the paradigm of intelligent agents can be applied in this domain. In the literature, there are several experimental and academic prototypes that attempt to demonstrate how the use of distributed artificial intelligence can be an interesting alternative to the classic centralized network management systems. This article benchmarks these prototypes, emphasizing two aspects (i) the strategy and (ii) the inherent functional blocks of each proposal.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Barba, A.: Gestión de Red. Alfaomega (2001)
Millán, R.: Mag Commun World 189, 54 (2004)
Hodeghatta, U.: Challenges of implementing network management solution. Int. J. Distrib. Parallel Syst. (IJDPS) 2(5), 67 (2011) (India)
Raya, K., Gaxiola, C., Castañón-Puga, M.: Network management based on multi-agent architecture (2014)
Arias, F., Zapata, G., Vásquez, L., Ovalle, D.: Homepage http://grupotyt.medellin.unal.edu.co/grupo-tyt/produccion-academica. Last accessed 01 Oct 2019
O’Hare, G., Jennings, N.: Foundations of Distributed Artificial Intelligence. Wiley (1996)
Russell, N.: Inteligencia Artificial. Pearson (2008)
IEEE Standard Glossary of Software Engineering Terminology. In: IEEE std 6. ISBN 155937067X. (1990)
Zambonelli, F., Omicini A.: Challenges and research directions in agent-oriented software engineering. Auton. Agents Multi-Agent Syst. 9 (2004)
Moreno, M., Rosete-Suárez, A., Simón-Cuevas, A.: Ingeniería de software orientada a agentes: roles y metodologías. Ingeniería Industrial. XXVII, 25–28 (2006)
Millán, R.: Magazine Windows NT 2000 Actual Nº 12, Prensa Técnica S.A. (1999)
Akinyokun, O.C., Ekuewa, J.B., Arekete, S.A.: Development of an agent-based system for monitoring software resources in a network environment: In: Artificial Intelligence Research, Sciedu Press, vol. 3, No. 3 (2017)
Akinyokun, O.C., Ekuewa, J.B., Arekete, S.A.: Development of agent-based system for monitoring software resources in a network environment. Artif. Intell. Res. 3(3) (2014) (Sciedu Press)
Isaza, G., Mejía, M.H., Castillo, L., Morales, A., Duque, N.: Network management using multi-agents system. Distrib. Comput. Artif. Intell. J. (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Zegarra-Vásquez, J.C., Mamani-Macedo, N. (2021). IP Network Management from the Perspective of Distributed Artificial Intelligence: State of the Art. In: Iano, Y., Arthur, R., Saotome, O., Kemper, G., Padilha França, R. (eds) Proceedings of the 5th Brazilian Technology Symposium. BTSym 2019. Smart Innovation, Systems and Technologies, vol 201. Springer, Cham. https://doi.org/10.1007/978-3-030-57548-9_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-57548-9_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-57547-2
Online ISBN: 978-3-030-57548-9
eBook Packages: EngineeringEngineering (R0)