Performance analysis of bandwidth allocation schemes in multiservice IP networks using utility functions

Rakocevic, Veselin; Griffiths, John M.; Cope, G.A.

doi:10.1016/s1388-3437(01)80125-6

Cited by 22 publications

(19 citation statements)

References 14 publications

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“…Many researchers proposed different mathematical functions in order to calculate the utility of various types of traffic as a function of bandwidth [14], [21], [22]. Xiao et al [13], Nguyen-Vuong et al [15] used a sigmoid utility function to achieve their goals while Fielder et al used a linear function in [16] and [17] to measure the utility of network throughput in the presence of losses.…”

Section: Related Workmentioning

confidence: 99%

A Loss-Based Utility Function for Predicting IPTV Quality of Experience over an Overlay Network

Abdeljaouad

Kandavanam

Karmouch

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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Internet Protocol Television (IPTV) over broadband networks offers more services and flexibility, such as time-shifted TV and video-on-demand (VoD), than the traditional broadcast TV. Unfortunately, IP offers best effort service and Quality of Service (QoS) is not guaranteed. In order to provide QoS guarantees over the Internet, overlay networks are used. Impairments happening at the network layer such as delays and packet losses significantly affect the quality of the IPTV stream. Hence, a reliable mechanism to monitor the Quality of Experience (QoE) of IPTV users is essential to an IPTV service provider in order to avoid customer churn. It is essential that an IPTV provider be able to monitor the QoE with minimal overhead. Therefore, we propose a utility based QoE monitoring approach based on statistical losses at the application layer. This paper also presents mathematical proofs and simulation results that confirm the suitability and effectiveness of our proposed method.

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Section: Related Workmentioning

confidence: 99%

A Loss-Based Utility Function for Predicting IPTV Quality of Experience over an Overlay Network

Abdeljaouad

Kandavanam

Karmouch

2011

2011 IEEE Global Telecommunications Conference - GLOBECOM 2011

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“…Both techniques are topics of active research. Interesting related work on network traffic shaping and bandwidth brokering includes the utility-based bandwidth partitioning scheme proposed in [8] and the mathematical study by Massoulié and Roberts [9]. The NIProxy's multimedia service provision mechanism on the other hand is largely related to the Service Oriented Architecture (SOA) paradigm [10] and the Active Networking (AN) design philosophy [11].…”

Section: Related Workmentioning

confidence: 99%

FEC-Integrated Network Traffic Shaping Using the NIProxy

Wijnants

Lamotte

2009

2009 First International Conference on Emerging Network Intelligence

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Abstract-Optimizing the satisfaction of users of distributed applications is an important yet non-trivial task. Data corruption incurred during network transmission plays a significant role in this context since it is likely to result in user frustration. As a countermeasure, Forward Error Correction (FEC) schemes complement source data with redundant information to enable data recovery at destination-side. This paper discusses the inclusion of adaptive parity-based FEC support in the NIProxy, a context-aware network intermediary which introduces network traffic shaping and multimedia service provision functionality in IP-based networks as tools to influence the user experience. Since FEC coding increases the load on the transportation network, an integrated approach with the NIProxy's network traffic shaping mechanism was adhered to enable deliberate FEC control and to guarantee the bandwidth overhead it introduces is justified. Representative experimental results confirm the validity of our approach and prove that, if applied in a well-considered manner, FEC coding is able to beneficially affect user experience and is hence a valuable addition to the NIProxy's feature list.

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“…2(b). See [21] for more discussions on different utility functions. Generally, the choice of utility functions would affect the efficiency of resource allocation and introduce different degrees of complexity to the utility maximization problem [22].…”

Section: B Utility Functionsmentioning

confidence: 99%

“…A previous work [35] has proved that the optimal multiservice scheduling problem is NP-hard. Most existing works on multiservice scheduling are in fixed bandwidth allocation [8], [21]. In the context of concurrent peer-to-peer UWB networks, we further explore spatial multiplexing to improve the network throughput so that the scheduling problem is even more challenging.…”

Section: Related Workmentioning

confidence: 99%

Multiclass Utility-Based Scheduling for UWB Networks

Liu

Cai

Shen

2008

IEEE Trans. Veh. Technol.

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Abstract-In this paper, the optimal scheduling problem for ultrawideband (UWB) networks is formulated as a utility maximization problem, considering heterogeneous traffic characteristics and the fairness constraint, which is an NP-hard problem. The utility function, defined as the user satisfaction level with respect to the allocated bandwidth, takes the link distance as the input parameter that may be noisy due to ranging errors. We solve the stochastic optimization problem by a metaheuristic, called the exclusive-region-based global search algorithm, that can avoid trapping into local optima with reasonable efficiency, complexity, and convergence speed. The concept of exclusive region for concurrent UWB communications is employed to improve algorithm efficiency. Extensive simulations demonstrate that, by appropriately scheduling concurrent transmissions, the total utilities of each traffic class can be significantly improved. In addition, the proposed scheduling algorithm can support heterogeneous applications and guarantee the intraclass and interclass fairness among competing flows.

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Performance analysis of bandwidth allocation schemes in multiservice IP networks using utility functions

Cited by 22 publications

References 14 publications

A Loss-Based Utility Function for Predicting IPTV Quality of Experience over an Overlay Network

A Loss-Based Utility Function for Predicting IPTV Quality of Experience over an Overlay Network

FEC-Integrated Network Traffic Shaping Using the NIProxy

Multiclass Utility-Based Scheduling for UWB Networks

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