Traffic Statistics and Performance Evaluation in Optical Burst Switched Networks

Yu, Xiang; Li, Jikai; Cao, Xiaojun; Chen, Yang; Qiao, Chunming

doi:10.1109/jlt.2004.833527

Cited by 148 publications

(120 citation statements)

References 27 publications

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“…Prior to the evaluation of the impact of OBS traffic in OGC-OA/OA scenarios, we first provide a description of the traffic statistics, together with the burstification process, which is the main response of such statistics [12]. In the following discussions, we briefly present the different burstifiers proposed in OBS and its impacts on both commonly considered traffic models and real data collected in a metro-regional link.…”

Section: Characteristics Of Burst Trafficmentioning

confidence: 99%

On the Benefits of Optical Gain-Clamped Amplification in Optical Burst Switching Networks

Zannin

Ennser

Taccheo

et al. 2009

J. Lightwave Technol.

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Abstract-This paper investigates the performance of an all-optical method for amplification gain control to be applied in the next generation of optical networks. An erbium-doped fiber amplifier is implemented in a simple and passive all-optical configuration known as optical gain-clamped optical amplifier (OA). The paper investigates the dynamic performance of the OA and discusses the interplay of amplifier dynamics with different traffic statistics. The investigation concerns exhaustive characterization of bit error rate performances under typical optical burst switching (OBS) traffic as well as special case of sudden power variation at the amplifier input. All obtained results show a reduction in the amplifier output power overshot compared to the case where the same OA operates without any gain stabilization technique. As an example, in the typical OBS traffic scenario, a reduction of 3 dB is observed.

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Section: Characteristics Of Burst Trafficmentioning

confidence: 99%

On the Benefits of Optical Gain-Clamped Amplification in Optical Burst Switching Networks

Zannin

Ennser

Taccheo

et al. 2009

J. Lightwave Technol.

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“…Under the assumption of Poissonian packet arrivals, the assembly time t for a L-sized burst follows a Gamma distribution with L − 1 degrees of freedom and parameter λ, as noted in [9,10]. The Probability Density Function (pdf) for such assembly time is given by…”

Section: Probability Distribution Of the Burst-release Timementioning

confidence: 99%

On the Early Release of Burst-Control Packets in Optical Burst-Switched Networks

Hernández

Aracil

2008

Lecture Notes in Computer Science

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Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: Abstract. In Optical Burst-Switched networks, the so-called BurstControl Packet is sent a given offset-time ahead of the optical data burst to advertise the imminent burst arrival, and reserve a time-slot at each intermediate node to allocate the incoming optical burst. This work proposes a methodology to estimate the number of packets to arrive in a given amount of time, in order to make it possible to send the BCP packet straightafter the first packet arrival and reduce the latency experienced during the burst-assembly process. The following studies the impact of a wrong guess in terms of overreservation of resources and waiting-time at the assembler, providing a detailed characterisation of their probability density functions. Additionally, a case example in a scenario with non-homogeneous Poisson arrivals is analysed and it is shown how to choose the appropriate burst-assembly algorithm values to never exceed a given over-reservation amount.

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“…Regarding the burst length and the inter-arrival time (IAT) distributions we apply the ones studied in [17] [18]. In particular, the bursts length is Gaussian distributed with a mean burst length equal to 40kbytes (1µ).…”

Section: A Node Scenariomentioning

confidence: 99%

Preemption window mechanism for efficient QoS support in E-OBS network architecture

Careglio

Klinkowski

Sole-Pareta

2008

2008 5th International Conference on Broadband Communications, Networks and Systems

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Abstract-This paper focuses on the problem of quality of service (QoS) provisioning in optical burst switching (OBS) networks. OBS is a promising photonic network technology aiming at efficient transport of IP traffic by means of statistical multiplexing. The lack of optical memories, however, makes this operation quite complicated. Problems such as unfairness in access to the shared transmission resources, facility in adopting alternative and backup routing, scheduling complexity and so on arise in the conventional OBS architecture. In [1] we proposed the offset-time emulated OBS (E-OBS) architecture, which overcomes all these drawbacks by means of distributed provisioning of the offset time in core nodes. Nonetheless it is still difficult to guarantee a certain level of service quality. Burst preemption mechanism, which, alongside with offset-time differentiation, was proven to be the most effective technique for QoS provisioning in OBS networks. The general drawback of any burst preemptionbased mechanism is that, in case of successful preemption, either the resources reserved for the preempted bursts on outgoing path are wasted or an additional signaling procedure should be carried out in order to release them. In order to avoid wasted resources reservation, in [2] we proposed the Preemption Window (PW) mechanism which enhances the E-OBS for efficient QoS support. In this paper we evaluate exhaustively the performance of the resulting architecture showing all its advantageous with respect to other solutions.

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Traffic Statistics and Performance Evaluation in Optical Burst Switched Networks

Cited by 148 publications

References 27 publications

On the Benefits of Optical Gain-Clamped Amplification in Optical Burst Switching Networks

On the Benefits of Optical Gain-Clamped Amplification in Optical Burst Switching Networks

On the Early Release of Burst-Control Packets in Optical Burst-Switched Networks

Preemption window mechanism for efficient QoS support in E-OBS network architecture

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