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Proportional differentiated services: delay differentiation and packet scheduling
IEEE/ACM Transactions on Networking (TON)
Expert Systems: Principles and Programming
Expert Systems: Principles and Programming
Managing Quality-of-Service in Internet Applications Using Differentiated Services
Journal of Network and Systems Management
Application-level differentiated services for Web servers
World Wide Web
Distributed multimedia applications and quality of service: a survey
CASCON '94 Proceedings of the 1994 conference of the Centre for Advanced Studies on Collaborative research
Quality of service resource management
Quality of service resource management
Design and implementation of a cooperative multimedia environment with QoS control
Computer Communications
An architecture for adaptive QoS and its application to multimedia systems design
Computer Communications
Web server support for tiered services
IEEE Network: The Magazine of Global Internetworking
Web services for quality of service monitoring
NTMS'09 Proceedings of the 3rd international conference on New technologies, mobility and security
Third party application control on quality of service in IP based multimedia networks
Information Systems Frontiers
User-driven dynamic traffic prioritization for home networks
Proceedings of the 2012 ACM SIGCOMM workshop on Measurements up the stack
Open Access to Control on Quality of Service in Convergent Networks
International Journal of Information Technology and Web Engineering
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It is often difficult to ensure that every application in a computing environment receives the level of quality of service required by their users. In such cases, the demand for computing resources to do so simply exceeds the limited supply that is available. To ensure that at least some user applications meet quality of service requirements, service differentiation is one approach growing in popularity. In this approach, preferential service is given to selected applications, while others deemed less important suffer in comparison. Most work in this area bases service differentiation decisions on static information about the applications, such as the name and type of application, the owner of the application, execution time, and the host on which the application was executed. In this paper, we discuss a new approach to service differentiation that takes into consideration dynamic application usage information in service differentiation decisions. In doing so, we can make better or fairer service differentiation decisions that allow more users to enjoy higher levels of quality of service. This is accomplished by ensuring preferential service is given to applications whose users can actually benefit from the improved service, as opposed to those applications that are essentially ignored or in a state that renders them unusable.