Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Relative differentiated services in the Internet: issues and mechanisms
SIGMETRICS '99 Proceedings of the 1999 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Proportional differentiated services: delay differentiation and packet scheduling
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
A control theoretic approach to active queue management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Feedback Control of Dynamic Systems
Feedback Control of Dynamic Systems
An optimization-oriented view of random early detection
Computer Communications
A case for relative differentiated services and the proportional differentiation model
IEEE Network: The Magazine of Global Internetworking
Achieving proportional loss rate differentiation in a wireless network with a multi-state link
Computer Communications
Achieving Proportional Delay and Loss Differentiation in a Wireless Network with a Multi-state Link
Information Networking. Towards Ubiquitous Networking and Services
ISWPC'09 Proceedings of the 4th international conference on Wireless pervasive computing
An enhanced RED-Based scheme for differentiated loss guarantees
APNOMS'06 Proceedings of the 9th Asia-Pacific international conference on Network Operations and Management: management of Convergence Networks and Services
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and Its Applications - Volume Part II
Analysis of RED with multiple class-based queues for supporting proportional differentiated services
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
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Relative service differentiation refers to service models that provide assurances for the relative quality ordering between classes, rather than for the absolute service level in each class. An example is the proportional differentiation model which provides a way to control the quality spacing between classes locally at each hop. In this model, certain forwarding metrics are ratioed proportional to the class differentiation parameters that the network operator chooses. In this paper, we propose a new proportional loss rate differentiation mechanism that integrates relative loss rate differentiation directly into active queue management using random early detection.