The Effect of Burst Assembly on Performance of Optical Burst Switched Networks

Choi, Jung Yul; Vu, Hai L.; Cameron, Craig W.; Zukerman, Moshe; Kang, Minho

doi:10.1007/978-3-540-25978-7_73

Cited by 12 publications

(12 citation statements)

References 9 publications

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“…This is simply because the incoming packets to the ingress node need to wait in the burstifier queue until the optical burst is generated. On the other hand, the enlargement of the transmission units from single packets to bursts and thus increasing the number of TCP segments between consecutive loss events increase the TCP performance, which is the so-called correlation gain [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Congestion window-based adaptive burst assembly for TCP traffic in OBS networks

Ozsarac

Karasan

2010

Photon Netw Commun

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Burst assembly is one of the key factors affecting the TCP performance in optical burst switching (OBS) networks. When the TCP congestion window is small, the fixed-delay burst assembler waits unnecessarily long, which increases the end-to-end delay and thus decreases the TCP goodput. On the other hand, when the TCP congestion window becomes larger, the fixed-delay burst assembler may unnecessarily generate a large number of small-sized bursts, which increases the overhead and decreases the correlation gain, resulting in a reduction in the TCP goodput. In this paper, we propose adaptive burst assembly algorithms that use the congestion window sizes of TCP flows. Using simulations, we show that the usage of the congestion window size in the burst assembly algorithm significantly improves the TCP goodput (by up to 38.4% on the average and by up to 173.89% for individual flows) compared with the timerbased assembly, even when the timer-based assembler uses the optimum assembly period. It is shown through simulations that even when estimated values of the congestion window size, that are obtained via passive measurements, are used, TCP goodput improvements are still close to the results obtained by using exact values of the congestion window. © Springer Science+Business Media, LLC 2010

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Section: Introductionmentioning

confidence: 99%

Congestion window-based adaptive burst assembly for TCP traffic in OBS networks

Ozsarac

Karasan

2010

Photon Netw Commun

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“…Previous studies have analysed in detail the burstassembly process, mainly focusing on the characterisation of outgoing burst sizes [14], the burst interdeparture times [5,15], its impact on different aspects of global network performance, such as link utilisation and blocking probability at intermediate nodes [2,24], or a combination of some of these aspects. Other subjects of interest regarding the burstification process have included the study of the smoothing effect caused on the incoming traffic burstiness [5,8,21,22], the influence of self-similarity [11] and the impact of the burst-assembly process on TCP performance [1,23,26].…”

Section: Introductionmentioning

confidence: 99%

On the analysis of burst-assembly delay in OBS networks and applications in delay-based service differentiation

et al. 2006

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In Optical Burst Switching (OBS), packets travel through the network core as part of longer-size optical bursts, which do not suffer electronic conversion until they reach an eggress point. Typically, such optical bursts comprise tens or hundreds of packets, which are assembled/deassembled at border nodes. During the burst-formation process, each arriving packet must wait until the final burst is complete, which clearly adds an extra delay on each packet in the burst, especially on those arriving earlier. However, such burst-assembly delay may be excessive for the appropriate performance of certain applications, mainly real-time interactive ones. This work's findings are twofold: first, it characterises the burst-assembly delay distribution of each packet in a burst arisen by the main assembly algorithms found in the literature; and, second, it introduces a new burstassembly strategy that takes into account the particular delay constrains of packets in the formation of optical bursts, along with a detailed study of its properties.

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“…Therefore, the Poisson model is not representative of the burst arrival process. Instead, the burst arrival process naturally follows an ON-OFF process: a source is in OFF mode during burst aggregation and in ON mode during burst transmission [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Fast blocking probability evaluation of end-to-end optical burst switching networks with non-uniform ON–OFF input traffic model

2006

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A novel, accurate, numerically stable and fast mathematical method for network-wide blocking probability evaluation of end-to-end optical burst switching (OBS) networks with heterogeneous link capacity under non-uniform traffic is proposed. Unlike most of previous works, which have used the Poisson model for the burst traffic, this paper considers a non-uniform ON-OFF model being a more realistic choice for OBS networks. Compared with simulation, the method was proved to be very accurate and much faster (up to four orders of magnitude faster than simulation in the studied cases). These features make the proposed method very useful for network analysis, especially for large size networks where simulation time can be prohibitively high.

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The Effect of Burst Assembly on Performance of Optical Burst Switched Networks

Cited by 12 publications

References 9 publications

Congestion window-based adaptive burst assembly for TCP traffic in OBS networks

Congestion window-based adaptive burst assembly for TCP traffic in OBS networks

On the analysis of burst-assembly delay in OBS networks and applications in delay-based service differentiation

Fast blocking probability evaluation of end-to-end optical burst switching networks with non-uniform ON–OFF input traffic model

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