Autonomous QoS Management and Policing in Unmanaged Local Area Networks

Köhnen, Christopher; Überall, Christian; Rajarajan, Muttukrishnan; Jäger, Rudolf; Rakočeivć, Veselin

doi:10.1155/2015/790375

Cited by 2 publications

(2 citation statements)

References 28 publications

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“…This queuing offers priority based service, wherein the lower priority queues are allowed to starve and higher priority packets are serviced here. During network congestion, in case the queue is full then low priority packets are dropped and packets with high priority are transmitted [2]. During congestion more critical data is given priority rather than the less critical data.…”

Section: Priority Queuing (Pq)mentioning

confidence: 99%

Impact of Queuing Disciplines on the Performance of Multi-Class Traffic in a Network

Sugirtham¹

2021

ITII

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Network applications demand quality of service for enhanced call quality and increased user satisfaction. Hence, implementing queuing discipline at switches and routers in a network will govern the way packets are buffered while waiting for transmission. Queuing disciplines like first-in first-out (FIFO) queuing, priority queuing (PQ), weighted-fair queuing (WFQ), custom queuing and modified weighted round robin are more prominently deployed in network applications. These queuing disciplines help to control and manage network resources by fixing priorities for specific types of data on the network. The paper aims to analyze the quality of service parameters for various real time applications like File transfer protocol(FTP), email, database, Voice over IP(VOIP), video and web browsing,etc., and helps to optimise the use of available network resources. Moreover the quality of the network is compared using different QoS parameters such as end-to-end delay, throughput, jitter and Mean Opinion Score (MOS). This paper focuses on various queuing disciplines with low and high network traffic.

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Section: Priority Queuing (Pq)mentioning

confidence: 99%

Impact of Queuing Disciplines on the Performance of Multi-Class Traffic in a Network

Sugirtham¹

2021

ITII

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“…Such congestion control evaluates the network performance through-put and network delay. Using Bandwidth prediction algorithm Muttukrishnan et al implemented a Hybrid Local Area Network with improved QoS, robustness and effectiveness for both Wired and Wireless [13]. In the paper [14], timing analysis with end-to-end packet delivery is derived to observe the switched Ethernet Network performance.…”

Section: Related Workmentioning

confidence: 99%

Quality of Service Analysis of Ethernet Network Based on Packet Size

Islam¹,

Bawn²,

Hasan³

et al. 2016

JCC

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Ethernet network, standardized by IEEE 802.3, is vastly installed in Local Area Network (LAN) for cheaper cost and reliability. With the emergence of cost effective and enhanced user experience needs, the Quality of Service (QoS) of the underlying Ethernet network has become a major issue. A network must provide predictable, reliable and guaranteed services. The required QoS on the network is achieved through managing the end-to-end delay, throughput, jitter, transmission rate and many other network performance parameters. The paper investigates QoS parameters based on packet size to analyze the network performance. Segmentation in packet size larger than 1500 bytes, Maximum Transmission Unit (MTU) of Ethernet, is used to divide the large data into small packets. A simulation process under Riverbed modeler 17.5 initiates several scenarios of the Ethernet network to depict the QoS metrics in the Ethernet topology. For analyzing the result from the simulation process, varying sized packets are considered. Hence, the network performance results in distinct throughput, end-to-end delay, packet loss ratio, bit error rate etc. for varying packet sizes.Ethernet network is covered under IEEE 803.2 working group referring to the LAN family of network protocols. Since it is published as an official standard in 1985, several supplements have been defined to support additional network media and higher data rate compatibilities with the advancement of network technologies [1] [2]. Nowadays, Ethernet supports longer transmission distance up to 150 km which indicates the mass installation in an optical fiber network in most LAN environments. Ethernet network uses both packet and frame for the transmission using the physical and data link layer at the same time [3]. Ethernet stations communicate sending the data as packets where the Ether-Type field uses frames at the receiving station to select an appropriate protocol module by the operating system [4].Performance is the key issue for the installation of Ethernet in any LAN environment. In the field of telecommunication QoS is defined through some network parameters such as delivery rate, throughput, delay, collision probability, bandwidth efficiency, packet loss ratio, bit error rate, queuing delay, and jitter [5]. Ethernet has MTU of 1500 bytes which is much higher and potential to degrade the performance of the network [6]. However, if the packet sizes increase in the transmission, congestion occurs and probability of packet drop increases. Segmenting the larger packets to divide into smaller ones avoids congestion and impacts on QoS on the overall Ethernet network. Packet size impacts on the queuing in the switch and router's buffer during the transmission process among the Ethernet stations. This varies the packet arrival and departure rate consequently the packet processing rate [7]. When the packet size exceeds the MTU, the end-to-end packet arrival/departure delay increases [7]. Segmentation requires time and impacts on the data rate and degrades the QoS of the network....

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Autonomous QoS Management and Policing in Unmanaged Local Area Networks

Cited by 2 publications

References 28 publications

Impact of Queuing Disciplines on the Performance of Multi-Class Traffic in a Network

Impact of Queuing Disciplines on the Performance of Multi-Class Traffic in a Network

Quality of Service Analysis of Ethernet Network Based on Packet Size

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