Design of an Autonomic QoE Reasoner for Improving Access Network Performance

Simoens, Pieter; Latré, Steven; Vleeschauwer, Bart De; Meerssche, Wim Van de; Turck, Filip De; Dhoedt, Bart; Demeester, Piet; Berghe, Steven Van den; Gilon, E

doi:10.1109/icas.2008.14

Cited by 14 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In [15], the authors focus the solution of QoE problem by distributing Knowledge, Monitor and Action Plane in all access network components. When Knowledge Plane detects that a parameter decreases, it determines the appropriate actions autonomously to restore it.…”

Section: B Objective Quality Assessment Methodsmentioning

confidence: 99%

A QoE Management System for Ubiquitous IPTV Devices

García¹,

Cánovas²,

Edo³

et al. 2009

2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies

View full text Add to dashboard Cite

The use of the triple-play services is growing up very quick in the recent years. This has come by the hand of the higher bandwidth offered in broadband access by the service providers. IPTV is the service that has been experienced more request, although it was the least developed. One of its biggest problems is to meet enough quality of experience (QoE) for the customers. This paper presents a QoE management system to guaranty enough IPTV QoE to the customer independently of its type of connection (wired or wireless). The User's QoE depends, among others, on the video quality, the zapping time and the synchronization time. The system calculates the user's QoE and notifies him which networks are available for him and have higher QoE. Then, the user decides to roam to that network. The system allows providing ubiquity to multinetwork devices.

show abstract

Section: B Objective Quality Assessment Methodsmentioning

confidence: 99%

A QoE Management System for Ubiquitous IPTV Devices

García¹,

Cánovas²,

Edo³

et al. 2009

2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies

View full text Add to dashboard Cite

show abstract

“…However, this autonomic behavior should be seen as a fast way of autonomously solving local problems. In the past, we discussed the design of specific KPlane components based on neural networks [8]. The autonomic behavior introduced by the knowledge base complements these components but does not try to replace them.…”

Section: Architecturementioning

confidence: 99%

“…The first is a analytical reasoner, based on a set of equations, the second is neural network approach. We refer to [8] for more information. Both approaches use the knowledge base functionality presented by the ontology.…”

Section: Detailed Scenario Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

Design for a Generic Knowledge Base for Autonomic QoE Optimization in Multimedia Access Networks

Latré

Simoens

Vleeschauwer

et al. 2008

NOMS Workshops 2008 - IEEE Network Operations and Management Symposium Workshops

View full text Add to dashboard Cite

The management of access networks to guarantee the Quality of Experience for multiplay services, is complicated by the heterogeneity in service specifics and home network configurations. The appropriate action to restore the QoE is highly dependent on the type of service, the affected user, etc. This requires an almost per-user and per-service management. Through autonomous reasoning, the required QoE restorative actions for underperforming services can be determined in a scalable way. This reasoning process needs a solid knowledge base, containing information about the network, the services and the QoE restorative actions that can be undertaken. This article gives an overview of these requirements and presents an OWL/SWRL based knowledge base that can be used in an autonomous QoE management architecture for the access network. Besides storing all information, the proposed knowledge base will autonomously deduce new information. This new information can be used to raise alarms to higher layers in the architecture or to autonomously propose QoE restorative actions for underperforming services.

show abstract

“…Existing systems [36][37] recommend service improvements or use mathematical models [11] to suggest optimizations. Research efforts using machine learning [38] and semantics [39] to analyse end user service experience are producing encouraging results but are as yet immature.…”

Section: Introductionmentioning

confidence: 98%

Semantic-based service analysis and optimization

Fallon

O’Sullivan

2014

2014 IEEE Network Operations and Management Symposium (NOMS)

View full text Add to dashboard Cite

In management systems, the focus is moving from managing the Quality of Service (QoS) of end-user service sessions to managing their Quality of Experience (QOE). To do this, the user experience and context of those sessions much be modelled, analysed, and optimised to ensure end user experience matches expectations as closely as possible. In this thesis, we introduce the Aesop approach, which uses semantic-based techniques to autonomically optimize end-user service delivery. The Aesop knowledge base models the end-user service management domain in a manner that is aware of the temporal properties of concepts. The autonomic Aesop Engine runs efficient semantic algorithms that implement the MAPE functions using those temporal properties to operate on small partitioned subsets of the knowledge base.The effectiveness and performance of the Aesop approach was evaluated on a HAN test bed. A significant improvement was observed on the compliance levels of high priority sessions in all experimental scenarios, with compliance levels more than doubled in some cases. A case study demonstrated that Aesop was also applicable in the Mobile Broadband Access domain.

show abstract

Design of an Autonomic QoE Reasoner for Improving Access Network Performance

Cited by 14 publications

References 11 publications

A QoE Management System for Ubiquitous IPTV Devices

A QoE Management System for Ubiquitous IPTV Devices

Design for a Generic Knowledge Base for Autonomic QoE Optimization in Multimedia Access Networks

Semantic-based service analysis and optimization

Contact Info

Product

Resources

About