Adaptive proportional delay differentiated services: characterization and performance evaluation
IEEE/ACM Transactions on Networking (TON)
Proportional differentiated services: delay differentiation and packet scheduling
IEEE/ACM Transactions on Networking (TON)
Admission control and dynamic adaptation for a proportional-delay diffserv-enabled web server
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
ICOIN '02 Revised Papers from the International Conference on Information Networking, Wireless Communications Technologies and Network Applications-Part I
A Proportional-Delay DiffServ-Enabled Web Server: Admission Control and Dynamic Adaptation
IEEE Transactions on Parallel and Distributed Systems
Enhancing class-based service architectures with adaptive rate allocation and dropping mechanisms
IEEE/ACM Transactions on Networking (TON)
Mobile intelligent agent technology for QoS provisioning and network management
ICCOM'06 Proceedings of the 10th WSEAS international conference on Communications
A priority discipline for proportional service level differentiation
Proceedings of the 6th International Conference on Queueing Theory and Network Applications
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We consider a proportional delay model for Internet differentiated services. Under this model, an ISP can control the "spacing" of waiting times between different classes of traffic. Specifically, the ISP tries to ensure that the average waiting time of class i traffic relative to that of class i-1 traffic is consistently a specifiable ratio. If the ratio is less than one, the ISP can legitimately charge users of class i traffic a higher tariff rate (compared to the rate for class i-1 traffic), since class i users consistently enjoy better performance than class i-1 users. We use time-dependent priority scheduling to realize the proportional delay model. We formally characterize the feasible regions in which given delay ratios can be achieved. Moreover a set of scheduling parameters for obtaining the desired delay ratios can be determined by an efficient control algorithm. Experiments are carried out to illustrate the short-term, medium-term and long-term relative waiting time performances for different service classes.