Basic Abstractions for an Autonomic Network Architecture

Jelger, Christophe; Tschudin, Christian; Schmid, Stefan; Leduc, Guy

doi:10.1109/wowmom.2007.4351692

Cited by 28 publications

(12 citation statements)

References 12 publications

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“…This is modeled as a Graph G in the algorithm. The graph is divided into individual cell clusters G i using the Min-cut Algorithm [1]. One instance of this sub graph (cell cluster) is represented in figure 2.…”

Section: Network Contraction Methodsmentioning

confidence: 99%

Integrating Power line and Wireless for Intelligent and Opportunistic Networking

Pandey¹,

Pande²,

Kadambi³

2010

IJCA

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In this paper we try to present a network architecture which leverages the power line for Opportunistic networking. We try to provide the autonomous working by use of 802.11 wireless mesh networks. This architecture is aimed at providing better Quality of Service without any additional infrastructure. This integration gives the high bandwidth of wired network to WiFi. The architecture focuses on providing wired backhaul of power line to 802.11s WiFi network. Then the combined network is systematically simplified by graph theory simplification techniques to reduce the network size considerably thereby shortening the route path. It also achieves Quality of Service as each wired backhaul subsequently leads to Internet Gateway. Increasing the backhauls means increase in number of gateways. We devise an intelligent algorithm which can switch between gateways with change in traffic and other overloading conditions thereby bringing the bandwidth within the wireless network at par with its wired counterparts.

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Section: Network Contraction Methodsmentioning

confidence: 99%

Integrating Power line and Wireless for Intelligent and Opportunistic Networking

Pandey¹,

Pande²,

Kadambi³

2010

IJCA

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“…Autonomic Network Architecture (ANA) project seeks to develop a network architecture that can self-organize [8]. The research explores ways of organizing and using networks beyond the current Internet technology.…”

Section: Related Workmentioning

confidence: 99%

Dynamic Autonomic Network Management: Evaluating the Architectural Challenges of Autonomic Management for Mobile Ubiquitous Access

Sibanda¹,

Falowo²

2014

Annals of Computer Science and Information Systems

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Abstract-As technology rapidly improves there is more mobile and portable devices available on the market, making the prospects of ubiquitous access to Information Communications Technology (ICT) services a bigger better reality every day. The major hurdle which is the ICT skills shortage can be solved by using autonomic management of the devices on the network and end user equipment. Network and application service providers competing to retain the customer base in order to maintain a guaranteed and healthy income, need to improve network management and stick to service level agreements. This can easily be achieved through enabling network components to automatically configure and optimize their settings, operations and performance. Autonomic network and device management has great advantages including, reduction of human error, reduction on the dependency of the scarce and expensive human skill and much faster introduction of applications, new services and technology, saving the critical and scarce time. However, due to architectural differences major problems arise when a mobile node traverses heterogeneous networks and systems that employ different management paradigms different aspects for similar processes such as Call Admission Control (CAC) mechanisms, Quality of Service (QoS) issues and Security.

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“…It is mainly targeted at wireless networks and still adopts a hierarchical structure with middle managers. ANA [15] is building an architecture that can demonstrate the feasibility and properties of autonomic networking. The problem field is quite close to the topics addressed in INM, but ANA should be regarded as a generic architecture for autonomic devices, while INM will leverage on a tight coupling of management functions with the services deployed on a device, like virtualization of resources or generic paths.…”

Section: Related Workmentioning

confidence: 99%

Architectural principles and elements of in-network management

Dudkowski¹,

Brunner²,

Nunzi³

et al. 2009

2009 IFIP/IEEE International Symposium on Integrated Network Management

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Abstract-Recent endeavors in addressing the challenges of the current and future Internet pursue a clean slate design methodology. Simultaneously, it is argued that the Internet is unlikely to be changed in one fell swoop and that its next generation requires an evolutionary design approach. Recognizing both positions, we claim that cleanness and evolution are not mutually exclusive, but rather complementary and indispensable properties for sustainable management in the future Internet.In this paper we propose the in-network management (INM) paradigm, which adopts a clean slate design approach to the management of future communication networks that is brought about by evolutionary design principles. The proposed paradigm builds on embedded management capabilities to address the intrinsic nature, and hence, close relationship between the network and its management. At the same time, INM assists in the gradual adoption of embedded self-managing processes to progressively achieve adequate and practical degrees of INM. We demonstrate how INM can be exploited in current and future network management by its application to P2P networks. Index Terms-clean slate design, evolutionary design, innetwork management, self-management, future Internet

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Basic Abstractions for an Autonomic Network Architecture

Abstract: The ANA (Autonomic Network Architecture)

Cited by 28 publications

References 12 publications

Integrating Power line and Wireless for Intelligent and Opportunistic Networking

Integrating Power line and Wireless for Intelligent and Opportunistic Networking

Dynamic Autonomic Network Management: Evaluating the Architectural Challenges of Autonomic Management for Mobile Ubiquitous Access

Architectural principles and elements of in-network management

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