Autonomous Network Equipments

Gaïti, Dominique; Pujolle, Guy; Salaun, Mikael; Zimmermann, Hubert

doi:10.1007/11687818_14

Cited by 6 publications

(3 citation statements)

References 15 publications

(14 reference statements)

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“…Gaïti et al [10] describes three examples of KP architectures: a set of agents solving problems by cooperating with each other; a policy-based architecture with local PDPs; and a unique supervisor that knows all about the network. The authors then choose to base their KP on a multi-agent system.…”

Section: Routingmentioning

confidence: 99%

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A situatedness‐based Knowledge Plane for autonomic networking

Bullot

Khatoun

Hugues³

et al. 2008

Int J Network Mgmt

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SUMMARYIP networks, and particularly the Internet, were proposed to be a simple and robust support for homogeneous communications. This implies that only basic control mechanisms have to be performed by network elements. Communication management has to be performed by the terminals. However, the integration of new services and the increasing need for QoS require the network to be increasingly more fl exible and adaptive. New algorithms and protocols have been proposed by many research teams to address these issues, but these new algorithms tend to make network management and control more fl exible. Thus, manual confi guration of such fl exible and adaptive network architectures is very complex, if not impossible. Self-management is then a good opportunity to address this new complexity, and then to integrate more easily new services into the network. However, this self-management requires the equipment to carry much more knowledge and information than the actual control and management planes do. Global knowledge management schemes are therefore necessary to achieve this, including new policies for knowledge gathering, computing, sharing and providing. To address this particular need for knowledge management, several studies have proposed building a new plane, called the 'Knowledge Plane' (KP). This paper studies different propositions for this KP, and presents an original vision of what this KP should be. Our vision of the KP relies on the paradigm of situatedness. This paradigm was developed by research studies in the fi eld of multi-agent systems, which tend to solve complex problems using collaborative and autonomous agents (multi-agent technology has been largely described in Artifi cial Intelligence literature). These agents in our proposition are embedded within the network elements themselves. Their role is to share local and situated knowledge composing the global KP. We have also developed, as an illustration, a distributed intrusion detection system (IDS) based on the local IDS Snort.

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Section: Routingmentioning

confidence: 99%

“…The authors then choose to base their KP on a multi-agent system. As we explain in the next section, although we chose to base our KP on a multi-agent system our approach is sensibly different from the approach proposed in Gaiti et al [10].…”

Section: Routingmentioning

confidence: 99%

A situatedness‐based Knowledge Plane for autonomic networking

Bullot

Khatoun

Hugues³

et al. 2008

Int J Network Mgmt

Self Cite

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“…All these projects describe an infrastructure in terms of high level concepts and do not concentrate on the representation, validation and actual generation of configurations and rules, but rather provide an environment in which these operations can take place. The agent approach is extended in [11] from a quality of service perspective and is currently under development.…”

Section: Related Workmentioning

confidence: 99%

Self-configuration of Network Devices with Configuration Logic

Hallé

Wenaas

Villemaire

et al. 2006

Autonomic Networking

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Abstract. Autonomic networking is an emerging approach to the management of computer networks that aims at developing self-governed devices. Among the main issues of autonomic systems is the question of self-configuration. In this paper, we describe a method for discovering and self-generating the configuration of a network device in order to dynamically push a new service into a network. On each configuration, several rules representing the semantics of the services are expressed in a logical formalism called Configuration Logic. From these rules, we show how to use traditional satisfiability methods to automatically generate or modify the configuration of a device with respect to the configuration of its neighbours. We illustrate our case with an example of a switch that automatically discovers its VLAN configuration when connected to an existing network. The results presented here have been implemented into the configuration management tool ValidMaker.

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Piloting System

Madeira¹,

Fonseca²

2013

Virtual Networks

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Autonomous Network Equipments

Cited by 6 publications

References 15 publications

A situatedness‐based Knowledge Plane for autonomic networking

A situatedness‐based Knowledge Plane for autonomic networking

Self-configuration of Network Devices with Configuration Logic

Piloting System

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