Optimal Traffic Shaping with Deterministic Guarantees Using GPS Scheduling

Hernández-Orallo, Enrique; Carbó, Joan Vila i; Sáez, Sergio; Terrasa, Silvia

doi:10.1007/3-540-36166-9_1

Cited by 3 publications

(3 citation statements)

References 16 publications

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“…Each flow has traffic characteristics which are chosen randomly from the characteristics of a traffic mix consisting of different video traces. This traffic generation is very similar to the one introduced in [17] and used in [18] for comparing service disciplines. Figure (3) shows a dynamic traffic aggregation for an offered bandwidth of 20Mb/s with a duration of one hour.…”

Section: Composite Traffic Aggregationmentioning

confidence: 97%

“…Another conclusion is that it is not efficient to use delays greater than 0.2s (the increment of the utilisation for a delay greater than 0.2s is very low). Since this traffic aggregate generation is very similar to the one used in [18] for evaluating Integrated Services utilisation, we can compare both utilisations. The conclusion is that DiffServ utilisation is far better than Integrated Services.…”

Section: Bandwidth Utilizationmentioning

confidence: 99%

See 1 more Smart Citation

Provisioning expedited forwarding DiffServ channels using multimedia aggregates

Hernandez-Orallo¹,

Vila-Carbo²,

Sáez³

et al. 2004

Proceedings. 30th Euromicro Conference, 2004.

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1This paper presents methods and tools for the optimal dimensioning of Differentiated Services Networks and, in particular, for the Expedited Forwarding Class of Service. The proposed method minimises the bandwidth reservation of a traffic aggregate to provide a given maximum delay. The paper also introduces several methods to generate multimedia traffic aggregation using real video traces. The method is evaluated in several scenarios using these traffic traces. The results of these simulations allow us to discover the relationship between a required delay and the necessary bandwidth reservation (or the achievable utilisation limit). An interesting conclusion of these scenarios is that, following several recommendations, the link utilisation can reach values of around 80% or higher. The advantages of using shortterm provisioning versus long-term provisioning are also studied.

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Section: Composite Traffic Aggregationmentioning

confidence: 97%

Section: Bandwidth Utilizationmentioning

confidence: 99%

Provisioning expedited forwarding DiffServ channels using multimedia aggregates

Hernandez-Orallo¹,

Vila-Carbo²,

Sáez³

et al. 2004

Proceedings. 30th Euromicro Conference, 2004.

View full text Add to dashboard Cite

show abstract

“…Each flow has traffic characteristics which are chosen randomly from the characteristics of a traffic mix consisting of different video traces. This traffic generation is very similar to the one introduced in [19] and used in [20] for comparing service disciplines.…”

Section: Composite Traffic Aggregationmentioning

confidence: 99%

Network Provisioning Using Multimedia Aggregates

Hernández-Orallo

Vila-Carbó

2007

Advances in Multimedia

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Multimedia traffic makes network provisioning a key issue. Optimal provisioning of network resources is crucial for reducing the service cost of multimedia transmission. Multimedia traffic requires not only provisioning bandwidth and buffer resources in the network but also guaranteeing a given maximum end-to-end delay. In this paper we present methods and tools for the optimal dimensioning of networks based on multimedia aggregates. The proposed method minimises the network resources reservations of traffic aggregates providing a bounded delay. The paper also introduces several methods to generate multimedia traffic aggregation using real video traces. The method is evaluated using a network topology based on the European GÉANT network. The results of these simulations allow us to discover the relationship between a required delay and the necessary bandwidth reservation (or the achievable utilisation limit). An interesting conclusion of these scenarios is that, following several recommendations, the network utilisation can reach values of around80%or higher.

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