Flow‐level performance analysis of a multi‐rate system supporting stream and elastic services

Gero, Balazs; Palyi, Pal L.; Rácz, Sándor

doi:10.1002/dac.1383

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…Such a solution can be more effective when the AHB algorithm is also implemented. To estimate the flows' throughputs the structure of two-dimensional model proposed in [6] can be used. This is an efficient method to estimate the average throughputs of elastic flows, which usually consume most of link bandwidth.…”

Section: Optimal Bypass Calculationmentioning

confidence: 99%

Automatic Hidden Bypasses in Software-Defined Networks

et al. 2016

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As global internet traffic continues to increase, network operators face challenges on how to efficiently manage transmission in their networks. Even though attempts are underway to make optical networks automatic, the majority of actions related to traffic engineering are still performed manually by the administrators. In this paper we propose an Automatic Hidden Bypasses approach to enhance resource utilization in optical networks. Our solution uses the softwaredefined networking concept to automatically create or remove hidden bypasses which are not visible at the network layer. The mechanism increases throughput and reduces transmission delays.

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Section: Optimal Bypass Calculationmentioning

confidence: 99%

Automatic Hidden Bypasses in Software-Defined Networks

et al. 2016

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“…The analysis of the first tests of the XP router prototype was presented in [13]. The authors of [14] propose a model for mapping multiple classes of streaming and elastic flows into two-dimensional scheme. They argue that the assumption of two traffic classes allows for performance analysis in large models and such method is less complex than alternative solutions.…”

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confidence: 99%

Efficient congestion control mechanism for flow‐aware networks

Domżał

Wójcik

Chołda

et al. 2015

Int J Communication

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Transmission based on flows becomes more and more popular in teleinformatics networks. To guarantee proper quality of service, to enable multipath transmissions, or just to increase transmission effectiveness in a network, traffic should be sent as flows. Flow-aware networking architecture is one of the possible concepts to realize flow-based transmissions. In this paper, the efficient congestion control mechanism (ECCM) is proposed to improve transmission in flow-aware networks (FAN). The mechanism makes it possible to minimize acceptance delay of streaming flows (served with high priority) without deteriorating other transmissions in the network. It is confirmed by simulation experiments that the implementation of FAN with the ECCM mechanism is a promising solution for the Future Internet. Figure 1. The cross-protect router.ensures fast acceptance of streaming flows in FAN routers, even in congestion, and may be used in each FAN implementation. Moreover, it does not significantly affect the other transmissions in a network and is fully automatic.The cross-protect router (also known as the XP router) is the main element of FAN. Its functionality is presented in Figure 1. The measurement-based admission control (MBAC) accepts or rejects the packets of flows. When congestion is not observed, all packets are accepted, and the identifiers of flows represented by these packets are added to the protected flow list (PFL). In congestion, only packets whose flows are recorded in the PFL are accepted. The scheduler block decides on fair queuing of accepted packets. Moreover, the values of two congestion indicators are periodically estimated in this block. The fair rate (FR) is the rate which is or might be realized (in congestionless state) by a flow, and the priority load (PL) represents the level of priority traffic in the link. If the border values of FR or PL (min_FR or max_PL) in the outgoing link are exceeded, the congestion is noticed.Flow-aware networks have many advantages. Among them, the most important is scalability. It was proved that the number of active flows (which have packets in the queue) to be scheduled does not increase with link capacity and amount of traffic to send. The authors of [5] shown that thanks to the admission control block, this number may be limited to the reasonable number. The second important advantage of FAN is fairness among flows, which is ensured if only links are not saturated (this is ensured by the MBAC). What is also very important, FAN conform to the net neutrality paradigms [6]. In each FAN version, the differentiation of packets is implicit and made by each router in the network independently. In this way, it is possible to differentiate services and maintain fairness and neutrality. Flow-based approaches, like OpenFlow [7] become more and more popular. Flow-aware networking is still an interesting research issue for scientists and researchers all over the world. New solutions for FAN have been recently proposed in [8][9][10][11][12]. The authors of these papers propose new...

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Multirate Elastic Adaptive Loss Models

2019

Efficient Multirate Teletraffic Loss Models Beyond Erlang

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Flow‐level performance analysis of a multi‐rate system supporting stream and elastic services

Cited by 7 publications

References 11 publications

Automatic Hidden Bypasses in Software-Defined Networks

Automatic Hidden Bypasses in Software-Defined Networks

Efficient congestion control mechanism for flow‐aware networks

Multirate Elastic Adaptive Loss Models

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