IP Network Management from the Perspective of Distributed Artificial Intelligence: State of the Art

Juan Carlos Zegarra-Vásquez, Nestor Mamani-Macedo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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.

Original languageEnglish
Title of host publicationProceedings of the 5th Brazilian Technology Symposium - Emerging Trends, Issues, and Challenges in the Brazilian Technology
EditorsYuzo Iano, Rangel Arthur, Osamu Saotome, Guillermo Kemper, Reinaldo Padilha França
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages8
ISBN (Print)9783030575472
StatePublished - 2021
Externally publishedYes
Event5th Brazilian Technology Symposium, BTSym 2019 - Campinas, Brazil
Duration: 22 Oct 201924 Oct 2019

Publication series

NameSmart Innovation, Systems and Technologies
ISSN (Print)2190-3018
ISSN (Electronic)2190-3026


Conference5th Brazilian Technology Symposium, BTSym 2019

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.


  • Agent-oriented software engineering
  • Mobile agents
  • Multi-agent systems
  • SNMP protocol


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