On a preemptive Markovian queue with multiple servers and two priority classes
Mathematics of Operations Research
Analysis and optimization of transmission schedules for single-hop WDM networks
IEEE/ACM Transactions on Networking (TON)
Scheduling variable-length messages in a single-hop multichannel local lightwave network
IEEE/ACM Transactions on Networking (TON)
On queueing with customer impatience until the beginning of service
Queueing Systems: Theory and Applications
Adaptive scheduling for integrated traffic on WDM optical networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Fractional alpha stable network traffic model and its application in QoS routing
Journal of Network and Computer Applications
Prediction-Based QoS Management for Real-Time Data Streams
RTSS '06 Proceedings of the 27th IEEE International Real-Time Systems Symposium
A new technique for minimizing network loss from users' perspective
Journal of Network and Computer Applications
A reliable QoS aware routing protocol with slot assignment for mobile ad hoc networks
Journal of Network and Computer Applications
A new QoS aware predictive scheduling in EPONs
ANTS'09 Proceedings of the 3rd international conference on Advanced networks and telecommunication systems
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
IEEE Journal on Selected Areas in Communications
WDM-based local lightwave networks. I. Single-hop systems
IEEE Network: The Magazine of Global Internetworking
Survivable power efficiency oriented integrated grooming in green networks
Journal of Network and Computer Applications
Computer Networks: The International Journal of Computer and Telecommunications Networking
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In this paper, a novel quality of service (QoS) prediction framework is proposed to accommodate different applications with various QoS requirements. The purpose of the proposed structure is to estimate, given the QoS requirements of different applications, the number of them can be satisfied according to the predefined QoS level and the number of them have to be rejected or accepted under lower level. Moreover, this structure is able to control the network behavior when the new application with certain QoS requirements requesting for the connection. The framework consists of four modules. QoS Requirements Monitoring detects the changes in the supplied QoS. QoS Prediction performs at real-time to estimate whether the new QoS can be adapted to the current QoS. QoS Violation is dedicated to detect the violation. And a module of QoS Estimation is used to make the decision whether the hopeless new traffic is refused or accepted with acceptable QoS requirements. Therefore, this structure is able to control network behavior when the surrounding environment changes. Numerical and simulation results obtained suggest that the proposed predictive scheme is a promising approach for real time QoS prediction.