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  1. Proceedings of the 2012 ACM workshop on Capacity sharing (CSWS '12)
  2. ConEx based QoE feedback to enhance QoE
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Applying abstraction for a more efficient and fair network usage
Mercado: using market principles to drive alternative network service abstractions
ConEx based QoE feedback to enhance QoE
Can congestion-controlled interactive multimedia traffic co-exist with TCP?
Resource allocation in underprovisioned multioverlay live video sharing services
A first look at multi-access connectivity for mobile networking
Reducing server and network load with shared buffering
Demand-aware flow allocation in data center networks
On flow concurrency in the internet and its implications for capacity sharing
Enhancing TCP to support rate-limited traffic
AIMD and CCN: past and novel acronyms working together in the future internet

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ConEx based QoE feedback to enhance QoE

Content Provider ACM Digital Library
Author Charlot, Gregory Pierre, Samuel Krishnan, Suresh Shirazipour, Meral Lefebvre, Geoffrey
Abstract Quality of service (QoS) generally represents the performance of packet networks. Quality of experience (QoE) defines the quality perceived by end-users of applications running on these networks. This paper relates these two metrics in a novel way using the newly defined congestion exposure (ConEx) mechanism. ConEx is an experimental protocol defined by the IETF that allows the sender of a flow to convey the received explicit congestion notification (ECN) information back into the network. In IPv6, ConEx is implemented in an option header with 28 unused bits. These bits can be used to convey more than ECN feedback towards the network. This paper proposes to use these bits to send real-time objective QoE information, as perceived by the end-users, into the network. Routers can leverage this information to adjust QoS mechanisms. As an example, a new queue management technique is proposed with a multi-field DiffServ classifier using the QoE metric. Simulation results show that this mechanism can help in improving the overall QoE of active flows.
Starting Page 27
Ending Page 32
Page Count 6
File Format PDF
ISBN 9781450317801
DOI 10.1145/2413219.2413228
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-12-10
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Conex Qos Qoe Aqm
Content Type Text
Resource Type Article
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