An Expedited Forwarding PHB (Per-Hop Behavior)

Davie, Bruce S.; Charny, A.; Bennet, J.; Benson, Kyle; Boudec, J.-Y. Le; Courtney, William F.; Davari, Shahram; Firoiu, Victor; Stiliadis, D.

doi:10.17487/rfc3246

Cited by 320 publications

(204 citation statements)

References 5 publications

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“…For example, the 802.11e priorities are derived automatically from the IP DSCP codepoints [12]; applications that wish a specific treatment for their traffic at the data link layer have to mark their IP packets accordingly. A QoS server is typically needed to manage the priority level of each traffic stream in order to achieve system efficiency and fairness.…”

Section: Quality Of Service In Home Environmentsmentioning

confidence: 99%

“…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%

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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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Section: Quality Of Service In Home Environmentsmentioning

confidence: 99%

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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“…Conversely, bandwidthlimited QoS classes such as "expedited forwarding" [RFC3246] may experience systematic packet loss if they exceed their assigned bandwidth. Other QoS mechanisms such as load balancing may have side-effects such as re-ordering of packets, which may have a serious impact on perceived performance.…”

Section: Quality Of Service (Qos)mentioning

confidence: 99%

Reflections on Internet Transparency

Aboba¹,

Davies²,

Davies³

2007

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“…In the normal operation mode in our prototypical implementation of D-QoS, the system offers two main classes in DiffServ, Expedited Forwarding (EF) and Assured Forwarding (AF) classes following the specification in RFC 3246 [15] and RFC 2597 [16] respectively.…”

Section: Dynamic Quality Of Service (D-qos) Systemmentioning

confidence: 99%

Using active networks technology for dynamic QoS

et al. 2006

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We propose a dynamic QoS, or D-QoS, model where QoS settings can be automatically reconfigured based upon requests from authorized users. Different levels of privilege can be assigned to users enabling higher privileged users to interrupt the network flows belonging to those of lower privileged levels. To request for a special QoS treatment, a user can issue an active packet to interrupt any active node along its flow path which is D-QoS enabled. The request for a specific interruption level is approved by a D-QoS enabled node which allows for multi-level interruptions to be handled. After an interrupting flow has completed transmitting all its packets, D-QoS enabled node can resume its services for those pending flows which are of lower privilege levels. In this paper, we describe the overall concept of D-QoS and demonstrate how it can be implemented by a small prototype. Using simulation, we show that the proposed system can provide assurance for privileged flows with an improved network utilization where bandwidth is shared among the flows according to the levels of privilege. D-QoS should be deployed on those bottleneck hops with limited bandwidth on the edge network to ensure the best service is given to privileged users.

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An Expedited Forwarding PHB (Per-Hop Behavior)

Cited by 320 publications

References 5 publications

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

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

Reflections on Internet Transparency

Using active networks technology for dynamic QoS

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