Data networks
Queueing systems with vacations—a survey
Queueing Systems: Theory and Applications
The departure process of an N/G/1 queue
Performance Evaluation
The Markov-modulated Poisson process (MMPP) cookbook
Performance Evaluation
ATM user-network interface specification (version 3.0)
ATM user-network interface specification (version 3.0)
ATM: theory and application
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Performance Modelling of Communication Networks and Computer Architectures (International Computer S
Performance Modelling of Communication Networks and Computer Architectures (International Computer S
Queueing Systems: Theory and Applications
The departure process of discrete-time queueing systems with Markovian type inputs
Queueing Systems: Theory and Applications
Theory, Volume 1, Queueing Systems
Theory, Volume 1, Queueing Systems
A Two-Phase BMAP|G|1|N → PH|1|M – 1 System with Blocking
Automation and Remote Control
The BMAP/G/1/N -- · /PH/1/M tandem queue with losses
Performance Evaluation
Correlation bounds for second-order MAPs with application to queueing network decomposition
Performance Evaluation - Modelling techniques and tools for computer performance evaluation
Computers and Industrial Engineering
ASMTA '08 Proceedings of the 15th international conference on Analytical and Stochastic Modeling Techniques and Applications
Load transformation of Markovian arrival processes: methods and tool support
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
A performance model for integrated wireless mesh networks and WLANs with heterogeneous stations
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Traffic splitting in a network: split traffic models and applications
Computer Communications
Departure process analysis of the multi-type MMAP[K]/PH[K]/1 FCFS queue
Performance Evaluation
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A unified approach is applied to analyze the departure processes of finite/infinite BMAP/G/1 queueing systems for both vacationless and vacation arrangements via characterizing the moments, the z-transform of the scaled autocovariance function of interdeparture times CP(z), and lag n (n≥1) covariance of interdeparture times. From a structural point of view, knowing departure process helps one to understand the impact of service mechanisms on arrivals. Through numerical experiments, we investigate and discuss how the departure statistics are affected by service and vacation distributions as well as the system capacity. From a practical perspective, output process analysis serves to bridge the nodal performance and connectionwise performance. Our results can be then used to facilitate connection- or networkwise performance analysis in the current high-speed networks.