Service Fairness in Flexible Optical Networks

Callegati, Franco; Bonani, Luiz Henrique; Cerroni, Walter

doi:10.1364/ofc.2013.oth1h.4

Cited by 19 publications

(17 citation statements)

References 2 publications

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“…In [4] was shown that in the ideal case of a spectrum allocation with no fragmentation this trunk reservation policy is very effective in providing call blocking and bandwidth usage equalization among the various traffic classes. This will be called implementation 1 in the following or TR1.…”

Section: Icton 2013mentioning

confidence: 99%

“…In the ideal case of a perfect spectrum defragmentation it has already been shown in [4] that TR is very effective. Nonetheless it is also clear that perfect spectrum defragmentation is impossible, therefore the question is how and whether TR may cope with a fragmented bandwidth scenario.…”

Section: Introductionmentioning

confidence: 98%

“…Trunk reservation (TR) is one of these strategies [4]. TR is rather easy to implement and works for an arbitrary number of traffic types.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Trunk reservation for elastic optical networks

Lezama

Callegati

Cerroni

et al. 2013

2013 15th International Conference on Transparent Optical Networks (ICTON)

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From the logical performance point of view elastic optical networks are multi-service circuit switched networks where bandwidth allocation has to be managed to guarantee fair performance to channels of different capacity. In this manuscript are discussed and investigated the implementation options for a trunk reservation policy aiming at solving unfairness in the call blocking probability and network resources utilization.

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Section: Icton 2013mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

See 1 more Smart Citation

Trunk reservation for elastic optical networks

Lezama

Callegati

Cerroni

et al. 2013

2013 15th International Conference on Transparent Optical Networks (ICTON)

Self Cite

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show abstract

“…In consequence of all those advantages, Elastic Optical Network is being considered as the technology for upgrading WDM networks [2], [3], [11]. Although several works have pointed EON benefits [4], [9], no technology is perfect, and the added efficiency and flexibility comes at the price of increased complexity and new problems, such as spectrum fragmentation losses [12], [13] and service unfairness [12], [14].…”

Section: Introductionmentioning

confidence: 99%

A Defragmentation-Ready Simulation Framework For Elastic Optical Networks

Tessinari

Colle

Garcia

2017

JCIS

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Abstract-In this paper we explore in details the framework ElasticO++, which is a simulation framework for Elastic Optical Networks using OMNeT++. ElasticO++ is the first software available capable of working with spectrum defragmentation in dynamic network scenarios. The flexibility offered by the discussed tool allows both academia and industry to develop and evaluate new algorithms and techniques for Elastic Optical Networks. In this paper, we focus on ElasticO++ architecture, algorithms, and the features which we consider makes our framework unique. Additionally, we present a simulation case study and the newer features we are currently developing.

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“…As the multi‐granularity services are assigned with spectrum areas of the same size ignoring their differences in capacity sizes, it may increase unfairness. Fairness is addressed in [12–14] by introducing trunk reservation (TR) policy. TR is a common threshold of acceptance for all services to equalise performance [12].…”

Section: Introductionmentioning

confidence: 99%