On the efficiency of stream line effect for contention avoidance in optical burst switching networks

Kozak, Milos; Jaumard, B.; Boháč, Leoš

doi:10.1016/j.osn.2015.03.002

Cited by 6 publications

(4 citation statements)

References 18 publications

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“…A three-way process is used in [8] to utilize the available bandwidth of the link. The first step is investigating the effect of buffering within a stream-line effect framework.…”

Section: Work Relatedmentioning

confidence: 99%

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An improvement over TCP Vegas to enhance its performance in optical burst switching networks

Poorzare

Calveras

Abedidarabad

2021

Opt Rev

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The demand for high bandwidth on the Internet is growing drastically, and one of the solutions for tackling this problem is using optical networks. Burst switching is one of the techniques that can be used in optical networks to handle high traffic. Aside from many advantages that this technique has, it suffers from a big flaw called burst contention. Optical Burst Switching (OBS) is a switching technique without any buffering system. As a result, when two bursts are trying to reserve one resource, one of them drops. This drawback can have a significant impact on the performance of some protocols like TCP because they have not been designed to perform in a network without any queuing system and cannot distinguish a drop is because of the congestion or contention. In this paper, a new algorithm called AVGR (Average of RTTs) is proposed based on some mathematical equations to prevent the degradation of TCP. It tries to calculate averages for some RTTs in three different periods. Then base on the obtained results, the congestion control mechanism will be modified. The primary goal of the algorithm is to determine the current status of the network and make proper decisions based on it.

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“…A three-way process is used in [8] to utilize the available bandwidth of the link. The first step is investigating the effect of buffering within a stream-line effect framework.…”

Section: Work Relatedmentioning

confidence: 99%

“…Researchers have done much studying on this issue to improve the performance of optical networks running under protocols like TCP. A large number of previous enhancements have modified TCP or OBS to adapt them to optical networks [1][2][3][4][5][6][7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

An improvement over TCP Vegas to enhance its performance in optical burst switching networks

Poorzare

Calveras

Abedidarabad

2021

Opt Rev

View full text Add to dashboard Cite

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“…Since OBS uses one-way reservation, there is no guarantee that a transmitted burst will reach its destination, and bursts may be dropped at intermediate nodes due to contention, therefore burst loss because of contention is a major concern in OBS networks [7]. In the following we provide background on three contention resolution strategies used in this paper, namely, Burst Segmentation, LRHF and deflection routing.…”

Section: Related Workmentioning

confidence: 99%

“…[5,6], defined as a ratio of the bursts that are lost to the bursts that are sent, and utilization, e.g. [7,8], defined as the average proportion (over all trunks) of busy channels out of the total number of channels in a trunk. In [9], we have introduced the concepts of effective utilization and ineffective utilization as key performance measures of OBS networks.…”

Section: Introductionmentioning

confidence: 99%

Improving throughput and effective utilization in OBS networks

Zukerman

Wang

et al. 2015

Optical Switching and Networking

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Contention avoidance scheme using machine learning inspired deflection routing approach in optical burst switched network

Singh

Kaur³

et al. 2022

Int J Communication

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SummaryOptical transport has emerged as a candidate solution to cope with the rising data transmission challenges of enormously evolving data. In the bufferless environment, only the ingress node beholds the buffering to speed up the data transfer in the form of data bursts. However, such networks are prone to data contention issues that degrade the overall performance and eventually result in burst loss. The paper proposes a machine learning (ML) inspired deflection routing (DR) algorithm to overcome contention issues in optical burst switching (OBS) network. The contending burst is first evaluated and assigned the priority order as per the available bits. Based on the burst traffic analysis, support vector machine (SVM) kernels are trained to select an alternate route and redirected the bursts to a new output node. It has been observed that for 65% of cases, radial basis function (RBF) kernel demonstrated the best results among the three kernel functions. The work further shows that ML offers a wiser decision to avoid and overcome contention in the deflection of the route of the contenting bursts. Moreover, the proposed DR scheme has achieved the highest throughput and packet delivery ratio (PDR) with an average delay of 9.66 s using an OBS network deployed with 10 groups of nodes. When compared against the contention scenario and the existing work, the proposed DR outperformed the existing technique with a 4% to 11% margin.

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On the efficiency of stream line effect for contention avoidance in optical burst switching networks

Cited by 6 publications

References 18 publications

An improvement over TCP Vegas to enhance its performance in optical burst switching networks

An improvement over TCP Vegas to enhance its performance in optical burst switching networks

Improving throughput and effective utilization in OBS networks

Contention avoidance scheme using machine learning inspired deflection routing approach in optical burst switched network

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