Flow level performance approximations for elastic traffic integrated with prioritized stream traffic

Malhotra, R.; Berg, Jur van den

doi:10.1109/netwks.2006.300367

Cited by 6 publications

(12 citation statements)

References 7 publications

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“…In practice, real time applications often need some form of priority to function adequately, which make this approach not applicable in a real context. In [21][22][23][24], the authors was interesting in studying the performance of elastic flows in a network where real time traffic is prior and non-adaptive. In addition, they justified the need for an appropriate admission control mechanism for streaming flows to not jeopardize the performance of ongoing flows.…”

Section: Relates Workmentioning

confidence: 99%

A fluid approach for evaluating the performance of TCP traffic in the presence of real time traffic

Frikha

Garcia

2017

2017 Sixth International Conference on Communications and Networking (ComNet)

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Today, the Internet traffic is mostly dominated by an elastic data transfer. However, with the progressive development of the real time applications, it is anticipated that the streaming traffic will contribute a significant amount of traffic in the near future. By combining priority queuing with Class Based Weighted Fair Queueing (CBWFQ), The Low Latency Queueing (LLQ) is a very important router discipline that aims to provide the needed quality of service (QoS) for each traffic category. Priority queueing is used to guarantee delay constraints for real-time traffic, whereas CBWFQ is used to ensure acceptable throughput for traffic classes that are less sensitive to delay. In this paper, we focus on developing a fluid model to capture the relation between elastic traffic and the real time traffic in a LLQ system under a quasi-stationary assumption. Our analysis of the CBWFQ system is based on some numerical observations and relies on the conservation of the average total number of elastic flows carried by the elastic system. Detailed packet level simulations of TCP flows show the accuracy of our analysis. The results presented in this paper allows a rapid performance evaluation of TCP traffic circulating in the actual IP networks.

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Section: Relates Workmentioning

confidence: 99%

A fluid approach for evaluating the performance of TCP traffic in the presence of real time traffic

Frikha

Garcia

2017

2017 Sixth International Conference on Communications and Networking (ComNet)

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“…In [25], Malhotra proposed a model with priority queues giving the high priority to streaming traffic. He assumed that streaming and elastic traffic have the same peak rate and the capacity left over from serving streaming flows is equally divided among the elastic traffic flows.…”

Section: Integration Of Streaming and Data Traffic Under Multi-queuinmentioning

confidence: 99%

End-to-End Performance Evaluation of TCP Traffic under Multi-Queuing Networks

Garcia¹,

Boussada

2016

IJCNS

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While Internet traffic is currently dominated by elastic data transfers, it is anticipated that streaming applications will rapidly develop and contribute a significant amount of traffic in the near future. Therefore, it is essential to understand and capture the relation between streaming and elastic traffic behavior. In this paper, we focus on developing simple yet effective approximations to capture this relationship. We study, then, an analytical model to evaluate the end-to-end performance of elastic traffic under multi-queuing system. This model is based on the fluid flow approximation. We assume that network architecture gives the head of priority to real time traffic and shares the remaining capacity between the elastic ongoing flows according to a specific weight.

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“…Real-time traffic is generated by applications such as video-conference applications, Voice over Internet protocol applications (VoIP applications), online videos, online gaming, etc. These applications have strict bandwidth, end-to-end packet delay and jitter requirements for reliable operations [6]. Elastic traffic is generally transported by TCP (Transport Control Protocol) and it can adapt its rate to the available capacity [7].…”

Section: Introductionmentioning

confidence: 99%

“…However, studying the flow level performance of elastic traffic in a LLQ system (or an equivalent system) has not received much attention in literature. Most works evaluating the performance of elastic traffic in the presence of real-time traffic assumed that TCP traffic should not be transported in a differentiated manner [6], [21], [22], [23], [24], [25], [26]. In general, this viewpoint remains insufficiently appreciated in actual networks where TCP is used to carry several types of traffic with different QoS requirements.…”

Section: Introductionmentioning

confidence: 99%

A Flow-Level Performance Evaluation of Elastic Traffic Under Low Latency Queuing System

Boussada

Frikha

Garcia

2018

2018 IEEE 32nd International Conference on Advanced Information Networking and Applications (AINA)

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Internet tends progressively to be more interactive by supporting real-time communications into this packet-based environment. It is anticipated that online applications will rapidly develop and contribute by a significant amount of traffic in the near future. These applications have strict requirements in terms of delay and throughput which can't be met only if they are prior. However, at high demand of real-time traffic, elastic traffic (which is transported generally by TCP) may not have sufficient resources to be transported with reasonable quality of service (QoS). Therefore, it is primordial to manage properly the resource-network in order to provide the QoS required by both each type of services. In this paper, we present a new fluid model to evaluate the performance of elastic traffic under Low Latency Queuing (LLQ) system combining a priority queue for delaysensitive applications with a number of Class Based Weighed Fair Queues (CBWFQ) for elastic traffic. The originality of our contribution consists on focusing on the average total number of flows passing through the whole system by approximating it as a lossless best effort system with total load equal to the total carried load of the original system (no blocked load). The core of our analysis is based on some approximations proven for balanced fairness allocation, which provides a reasonable framework for estimating bandwidth sharing among elastic traffic for best effort allocations. Results issued from this allocation are then exploited to deduce the performance of CBWFQ system. Detailed packet level simulations are used to verify the effectiveness and the accuracy of our analysis. The approach presented in this paper allows a rapid performance evaluation of elastic or rate-adaptive traffic circulating in the actual networks.

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Flow level performance approximations for elastic traffic integrated with prioritized stream traffic

Cited by 6 publications

References 7 publications

A fluid approach for evaluating the performance of TCP traffic in the presence of real time traffic

A fluid approach for evaluating the performance of TCP traffic in the presence of real time traffic

End-to-End Performance Evaluation of TCP Traffic under Multi-Queuing Networks

A Flow-Level Performance Evaluation of Elastic Traffic Under Low Latency Queuing System

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