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  4. On self-healing based on collaborating end-systems, access and core network components
 
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2010
Konferenzbeitrag
Titel

On self-healing based on collaborating end-systems, access and core network components

Abstract
Autonomic Networking, realized through control loops, is an enabler for advanced self-manageability of network nodes and respectively the network as a whole. Self-healing is one of the desired autonomic features of a system/network that can be facilitated through autonomic behaviors realized by control loop structures. Autonomicity, implemented over existing protocol stacks as managed resources, requires an architectural framework that integrates the diverse aspects and levels of self-healing capabilities of individual protocols, systems and the network as a whole, such that they all should co-operate as required towards achieving reliable network services. This integration should include the traditional resilience capabilities intrinsically embedded within some protocols e.g. some telecommunication protocols, as well as diverse proactive and reactive schemes for incident prevention and resolution, which must be realized by autonomic entities implementing a control loop s at a higher-level outside of protocols. In this paper, we present our considerations on how such an architectural framework, integrating the diverse resilience aspects inside an autonomic node, can facilitate collaborative self-healing across end systems, access networks, edge and core network components.
Author(s)
Tcholtchev, N.
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Chaparadza, R.
Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS
Hauptwerk
Access networks. 5th International ICST Conference on Access Networks, AccessNets 2010 and First International Workshop on Automatic Networking and Self-Management in Access Networks, Selfmagicnets 2010. Revised selected papers
Konferenz
International Conference on Access Networks 2010
International Workshop on Autonomic Networking and Self-Management in the Access Networks (SELFMAGICNETS) 2010
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DOI
10.1007/978-3-642-20931-4_22
Language
Englisch
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