Pricing computer services: queueing effects
Communications of the ACM
Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
Optimal incentive-compatible priority pricing for the M/M/1 queue
Operations Research
IEEE/ACM Transactions on Networking (TON)
Priority pricing of integrated services networks
Internet economics
Optimal pricing for integrated services networks
Internet economics
A simulation study of competitive Internet pricing: AOL flat rates versus GSW usage prices
Proceedings of the first international conference on Information and computation economies
The economics of network management
Communications of the ACM
Paris metro pricing for the internet
Proceedings of the 1st ACM conference on Electronic commerce
Dynamic behavior of differential pricing and quality of service options for the internet
Decision Support Systems - Special issue on information and computational economics
Should Flat-Rate Internet Pricing Continue?
IT Professional
Streamlining the Digital Economy: How to Avert a Tragedy of the Commons
IEEE Internet Computing
Optimal Resource Allocation for Multi-Service Networks
SS '00 Proceedings of the 33rd Annual Simulation Symposium
Resource pricing and the evolution of congestion control
Automatica (Journal of IFAC)
Pricing congestible network resources
IEEE Journal on Selected Areas in Communications
Performance Analysis for Multi-Service Networks with Congestion-Based Pricing for QoS Traffic
ANSS '05 Proceedings of the 38th annual Symposium on Simulation
Composite quality of service and decision making perspectives in wireless networks
Decision Support Systems
AWSM: Allocation of workflows utilizing social network metrics
Decision Support Systems
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The internet traffic is increasingly composed of streams of packets with very diverse quality of service (QoS) requirements: from those containing standard, best-effort traffic, such as e-mail or http sessions, to internet telephony and high-quality video streaming demanding dedicated allocation of network capacity. However, while methods based on externality pricing exist to offer socially optimal prices to the groups of users demanding different grades of the best-effort service class, less attention has been devoted to the implementation of such pricing models to the improvement of network resources allocation in a multiservice setting (i.e., a network offering various grades of both guaranteed and best-effort level of service). This paper addresses the problem through an end-to-end approach that combines a congestion-based pricing model for resource sharing with a QoS network model, based on admission roles. We describe a measurement-based approach for QoS path pricing that results in improved resource allocation policies between QoS and best-effort traffic. We also present the results of a large-scale simulation study that shows how this pricing scheme increases both end user value and system throughput with low computational overhead.