New Terminology and Clarifications for Diffserv

Grossman, David A.

doi:10.17487/rfc3260

Cited by 155 publications

(108 citation statements)

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“…While I do not believe this advantage was by design, it is an effect of bufferbloat and current broadband supporting only a single queue, at most accelerating acks ahead of other bulk data packets. In the presently deployed broadband infrastructure, these other queues are usually unavailable for use by time sensitive traffic, and DiffServ [RFC3260] is not implemented in broadband head end equipment. Therefore time sensitive packets share the same queue of non-time sensitive bulk data (HTTP) traffic.…”

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confidence: 99%

Internet Engineering Task Force

Moïsio¹

2018

The SAGE Encyclopedia of the Internet

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The proposed change to the initial window to 10 indraft-ietf-tcpminitcwnd must be considered deeply harmful; not because it is the proposed change is evil taken in isolation, but that other changes in web browsers and web sites that have occurred over the last decade, it makes the problem of transient congestion at a user's broadband connection two and a half times worse. This result has been hidden by the already widespread bufferbloat present in broadband connections. Packet loss in isolation is no longer a useful metric of a path's quality. The very drive to improve latency of web page rendering is already destroying other low latency applications, such as VOIP and gaming, and will prevent reliable rich web real time web applications such as those contemplated by the IETF rtcweb working group. Status of this MemoThis Internet-Draft is submitted in full conformance with the provisions of BCP 78 and BCP 79.

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confidence: 99%

Internet Engineering Task Force

Moïsio¹

2018

The SAGE Encyclopedia of the Internet

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“…Any satellite terminal can be allocated one or blend of the four capacities. Diffserv [3] is the model of QoS in most satellite systems; hence, it is adopted by Platine. This standard defines five perhop behaviour (PHB) classes: expedited forwarding (EF) and four assured forwarding (AF) classes, along with the best effort (BE) service of the Internet.…”

Section: Satellite Network Testbedmentioning

confidence: 99%

Framework for end-to-end QOS measurement over DVB-RCS network

Ali¹,

Liang²,

Sun³

et al. 2009

IET Conference Publications

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Satellites are popular due to their wide area coverage and for providing connectivity in remote regions of the world. The future development of satellite systems providing services based on the Internet Protocol (IP) needs to be validated on a real satellite network. This paper presents the end-to-end quality of service (QoS) measurements taken at European Space Agency (ESA) testbed over DVB-RCS infrastructure. The applications chosen for these experiments are file transfer (FTP), web browsing (HTTP), video streaming and P2P filesharing. File transfer, web browsing and P2P file-sharing require reliable transport mechanism as a corrupted bit will hinder the intact data delivery. Therefore, these applications use transmission control protocol (TCP) as the transport protocol. TCP involves a three way handshake, which introduces extra delay during data transfer. Video streaming is a real time application, so, it is time-sensitive and requires lesser reliability compared to the other three applications. Hence, it employs user datagram protocol (UDP) at the transport layer, which do not offer any guarantee of reliable data delivery but is fast. The parameters that have been used to evaluate quality of service (QoS) are packet timestamps, file download time, round trip delay, packet sizes and packet loss rate. Also similar applications and results will be measured from a satellite emulation testbed, PLATINE. It is based on Linux operating system, in which most of the DVB-S and DVB-RCS satellite network functions have been implemented. These functions include network topology configuration, Quality of Service (QoS), Demand Assigned Multiple Access (DAMA), traffic encapsulation using both Asynchronous Transfer mode (ATM) and ULE/MPEG, satellite network entities configuration and support for both IPv4 and IPv6. The paper concludes with the comparative analysis of the QoS of the applications in both real and emulation environments.

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“…The Network Probe can be viewed as a particular type of sensor, and thus it is virtualized within SAIL as a virtual sensor, where the transducers are associated to the measurements described above: mean and current bandwidth, number of active flows, mean and current arrival/departure rates, and number of bytes/packets arrived (see Figure 4). Such measures are available for different levels of aggregation, in particular we model each Network Probe (including network traffic below the transport layer), all the three main QoS classes [10], namely EF (Expedited Forwarding, [12]), AF (Assured Forwarding, [20]) and BE (Best Effort), and every recognizable application (HTTP, RTSP, RTP, DNS, etc.) to a different Virtual Sensor.…”

Section: The Network Probe As a Virtual Sensormentioning

confidence: 99%

A context-aware architecture for QoS and transcoding management of multimedia streams in smart homes

Bolla

Repetto

Zutter

et al. 2008

2008 IEEE International Conference on Emerging Technologies and Factory Automation

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Current trends in smart homes suggest that several multimedia services will soon converge towards common standards and platforms. However this rapid evolution gives rise to several issues related to the management of a large number of multimedia streams in the home communication infrastructure. An issue of particular relevance is how a context acquisition system can be used to support the management of such a large number of streams with respect to the Quality of Service (QoS), to their adaptation to the available bandwidth or to the capacity of the involved devices, and to their migration and adaptation driven by the users' needs that are implicitly or explicitly notified to the system. Under this scenario this paper describes the experience of the INTERMEDIA project in the exploitation of context information to support QoS, migration, and adaptation of multimedia streams.

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New Terminology and Clarifications for Diffserv

Cited by 155 publications

References 0 publications

Internet Engineering Task Force

Internet Engineering Task Force

Framework for end-to-end QOS measurement over DVB-RCS network

A context-aware architecture for QoS and transcoding management of multimedia streams in smart homes

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