Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
An engineering approach to computer networking: ATM networks, the Internet, and the telephone network
Paris metro pricing for the internet
Proceedings of the 1st ACM conference on Electronic commerce
End-to-end arguments in system design
ACM Transactions on Computer Systems (TOCS)
Secrets & Lies: Digital Security in a Networked World
Secrets & Lies: Digital Security in a Networked World
ABE: providing a low-delay service within best effort
IEEE Network: The Magazine of Global Internetworking
Revisiting IP QoS: why do we care, what have we learned? ACM SIGCOMM 2003 RIPQOS workshop report
ACM SIGCOMM Computer Communication Review
Pricing of risk for loss guaranteed intra-domain internet service contracts
Computer Networks: The International Journal of Computer and Telecommunications Networking
Technical, Commercial and Regulatory Challenges of QoS: An Internet Service Model Perspective
Technical, Commercial and Regulatory Challenges of QoS: An Internet Service Model Perspective
Path-vector contracting: Profit maximization and risk management
Computer Networks: The International Journal of Computer and Telecommunications Networking
Bailout forward contracts for edge-to-edge internet services
Computer Communications
Hierarchical spectrum market and the design of contracts for mobile providers
ACM SIGMOBILE Mobile Computing and Communications Review
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In an effort to meet application needs, network researchers have designed internet quality of service (QoS) architectures intended to deliver end-to-end performance guarantees to applications. Because such services offer guarantees and must elevate and isolate select traffic from competing traffic, we refer to them as "elevated services" (this is in contrast to forms of QoS that differentiate two or more best-effort service classes none of which is strictly elevated over another [3]). Despite two decades of vigorous research and standards activity, elevated services have failed to deploy. We argue that a fundamental reason for this failure is a confusion between QoS as an underlying technology and QoS as a service offering. Neither customers nor Internet service providers need or want hard performance guarantees. Instead, each wants tools to understand and manage risk.