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Autonomous Quality of Service management and policing in unmanaged Local Area Networks

Köhnen, C. (2016). Autonomous Quality of Service management and policing in unmanaged Local Area Networks. (Unpublished Doctoral thesis, City, University of London)

Abstract

Quality of service in local area networks is becoming more and more important, since bandwidth intensive applications are increasing in modern households, but the infrastructure is often limited. State of the art research and standardisation knows of QoS technologies targeting QoS in consumer networks, but these often require deployment on all devices, are limited to certain access technology or lack autonomous configuration support. This thesis presents a novel approach to Quality of Service in unmanaged Local Area Networks, called the QoSiLAN framework. It does not rely on network infrastructure support, but on host cooperation. It identifies traffic with a QoS demand and predicts the required resources to enable per-link bandwidth reservations in an autonomous manner. In contrast to traditional approaches, the bandwidth reservation is not realised explicitly by infrastructure support, but implicitly by host cooperation. This works by involving cooperating hosts, which limit their bandwidth output to not over-provision links with active QoS reservations in the network, while a full device coverage is not required essentially. The resource management and admission control is coordinated by a dedicated QoSiLAN Manager host, which also maintains a detailed link layer network topology map to make sophisticated resource policing admissions on link basis. To enable the QoSiLAN framework, this Thesis contributes the framework as well as new knowledge to the enabler technologies for traffic identification, resource prediction, topology mapping, policing and admission control as well as a dedicated QoS signalling communication protocol.

Publication Type: Thesis (Doctoral)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Departments: Doctoral Theses
School of Science & Technology
School of Science & Technology > School of Science & Technology Doctoral Theses
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