Performance and stability of communication networks via robust exponential bounds
IEEE/ACM Transactions on Networking (TON)
Performance Guarantees in Communication Networks
Performance Guarantees in Communication Networks
A basic stochastic network calculus
Proceedings of the 2006 conference on Applications, technologies, architectures, and protocols for computer communications
Stochastic Network Calculus
Information theory and communication networks: an unconsummated union
IEEE Transactions on Information Theory
Stochastically bounded burstiness for communication networks
IEEE Transactions on Information Theory
A network information theory for wireless communication: scaling laws and optimal operation
IEEE Transactions on Information Theory
A probabilistic priority scheduling discipline for multi-service networks
Computer Communications
Toward probabilistic real-time calculus
ACM SIGBED Review
Challenges and new trends in probabilistic timing analysis
DATE '12 Proceedings of the Conference on Design, Automation and Test in Europe
On applying stochastic network calculus
Frontiers of Computer Science: Selected Publications from Chinese Universities
| Hi-index | 0.00 |
A challenging research issue of analyzing networks where packets are served probabilistically, such as multi-access networks and wireless networks, is to characterize the stochastic nature of service provided to users. This paper proposes a server model for characterizing a service process with the consideration of the stochastic nature of service. The proposed server model is defined based on a probabilistic bound on the cumulative packet service time. In addition, two traffic models characterizing the arrival process by the cumulative packet inter-arrival time are defined. Based on the proposed models, stochastic service guarantees including delay bound and backlog bound and the output characterization are explored. A two-class Probabilistic Priority server system, a generic server model which can model systems serving packets probabilistically, is analyzed to illustrate that the proposed models can facilitate performance analysis.