Offset time decision (OTD) algorithm for guaranteeing the requested QoS of high priority traffic in OBS networks

So, Won-Ho; Cha, Yun-Ho; Roh, Sun-Sik; Kim, Young-Chon

doi:10.1117/12.445200

Cited by 5 publications

(1 citation statement)

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“…What is more, it is common for researchers to assume for their simulations that the arrival rate of each class of traffic is equal [7], [8], [2], [5] or that their ratio is fixed [9], [6], and even to state that this assumption is made without loss of generality. However, as we will show in this paper, the size of the offset required to achieve a target level of isolation in OBS networks can depend very significantly on the relative arrival rates of low-class and high-class bursts.…”

Section: B Factors Affecting Isolationmentioning

confidence: 99%

The influence of low-class traffic load on high-class performance and isolation in optical burst switching systems

Barakat

Sargent

2004

2004 IEEE International Conference on Communications (IEEE Cat. No.04CH37577)

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In optical burst switching (OBS) networks, class differentiation and isolation can be achieved by assigning adequately long time offsets between the control packet and payload of high-class bursts. While it has been recognized that the length distribution of low-class bursts plays a role in determining the size of the offsets required, there have been no studies on the effect of other factors that may also be significant.In this paper we examine the effect of the ratio of the arrival rates of low-class and high-class traffic on the level of isolation achieved in OBS networks with Quality of Service offsets. We show that the level of isolation in the network depends on the arrival rate of low-class traffic, especially when the amount of low-class and high-class traffic in the system is comparable. When we vary the ratio between low and high-class arrival rates from 0.1 to 10, an additional offset of three times the mean low-class burst length is required to achieve the same level of isolation. These results imply that it is important for researchers and network designers to take into account the amount of lowclass traffic in the network when provisioning offsets for class differentiation in OBS networks.

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Section: B Factors Affecting Isolationmentioning

confidence: 99%