Internet QoS regulation in future networks: a user-centric approach

Ibarrola, Eva; Xiao, Jin; Liberal, Fidel; Ferro, Armando

doi:10.1109/mcom.2011.6035829

Cited by 11 publications

(8 citation statements)

References 5 publications

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“…End-users are interested in the required and perceived QoS; while ISP's focus on the offered and achieved QoS. The need to use PQoS in the evaluation of the quality of future networks is emphasised in [9] where an evaluation methodology to measure the four perceived QoSs is detailed.…”

Section: Qos and Qoementioning

confidence: 99%

Expected Quality of Service (eQoS) A network metric for capturing end-user experience

Pibiri

McGoldrick

Huggard

2012

2012 IFIP Wireless Days

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Abstract-Quality-oriented network service provisioning can take place at the network level using estimates of Intrinsic Quality of Service (IQoS) parameters or at the user level through measurements of the end-user Quality of Experience (QoE). While IQoS parameters are quantitative and measurement based, QoE estimates are more difficult to obtain as they usually rely on subjective end-user reporting.A new metric for the instantaneous estimation of QoE is proposed, expected Quality of Service (eQoS). This Perceived Quality of Service metric is calculated using IQoS parameters. eQoS estimates the QoE of common real time services for mobile devices (e.g. smartphones, tablets): Voice of IP via Constant Bit Rate, Audio and Video streaming via Variable Bit Rate.The efficiency of the proposed eQoS metric is evaluated via a realisation of an infrastructure-based wireless network. Unlike existing QoE metrics, eQoS provides an instantaneous estimate of the perceived QoS thereby establishing eQoS as an essential parameter for inclusion in future traffic management algorithms.

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Section: Qos and Qoementioning

confidence: 99%

Expected Quality of Service (eQoS) A network metric for capturing end-user experience

Pibiri

McGoldrick

Huggard

2012

2012 IFIP Wireless Days

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“…So we choose entropy as tool to quantify Internet knowledge. The Internet knowledge ୦ can be modeled as the formula (8).…”

Section: Measurement Of the Quantitymentioning

confidence: 99%

“…Some researchers paid their attention on the evaluation of Internet routing scalability [2][3][4]. Some researchers focus on the evaluation of Internet QoS (quality of service) [5][6][7][8][9][10]. And some researchers are interested in the evaluation of Internet architecture [11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A Shannon's Theory of Wisdom Internet

Lin

Chen

et al. 2012

2012 Fourth International Conference on Multimedia Information Networking and Security

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Internet is so popular that nearly everybody using it every day. Current Internet shows some characteristics of intelligent. For example, it can help people find the proper resources using semantic search. So this paper focuses on the wisdom of Internet. Firstly, the definition and relationship among information, knowledge and wisdom are introduced. Then, the definition of Internet information, Internet knowledge and Internet wisdom is proposed. Internet information follows the Shannon's theory on information.Internet knowledge is the set of Internet abilities, such as reliability, security, mobility. Internet wisdom is the overall performance of Internet for a certain event. Lastly, using the Shannon's on information entropy, the quantification process is brought out to quantify the three elements that we have defined.

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“…Many studies have been reported in the literature to tackle the limitations of the current internet, including network capacity (Ko et al, 2013;Lee and Chung, 2013), packet transmission rate (Schneidewind, 2012), QoS guarantee (Ibarrola et al, 2011), the extension of IP addressing space (Rafiee et al, 2012), network reliability (Fujinoki, 2009) and network security (Liang and Xiao, 2013). However, the solutions either make the internet more complicated or cannot satisfy the requirements of internet applications.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of a hierarchical switched network architecture

You

et al. 2016

IJAACS

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In an effort to solve the problems encountered by the current internet, we have proposed an original hierarchical switched network (HSNet) architecture with the new address structure and hierarchical switching and controlling protocols including a per-flow load-balancing algorithm for HSNet. To evaluate the effectiveness and accuracy of the proposed architecture and the load-balancing algorithm, this paper conducts extensive NS-2 simulation experiments. Furthermore, we prototype the switching equipment of HSNet based on the Intel IXP2800 Network Processor and test the equipment by virtue of the professional measuring instrument, i.e., Agilent N2X. In addition to the simulation experiments, a test-bed of HSNet is then built based on the developed switching equipments. Both the simulation and real experimental results demonstrate that the per-flow load balancing algorithm can effectively balance the load on network channels for HSNet, and the developed switching equipment can achieve a high throughput.

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Internet QoS regulation in future networks: a user-centric approach

Cited by 11 publications

References 5 publications

Expected Quality of Service (eQoS) A network metric for capturing end-user experience

Expected Quality of Service (eQoS) A network metric for capturing end-user experience

A Shannon's Theory of Wisdom Internet

Performance analysis of a hierarchical switched network architecture

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