Fundamentals of queueing theory (2nd ed.).
Fundamentals of queueing theory (2nd ed.).
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
The changing nature of network traffic: scaling phenomena
ACM SIGCOMM Computer Communication Review
Data networks as cascades: investigating the multifractal nature of Internet WAN traffic
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Distribution Estimation Using Laplace Transforms
INFORMS Journal on Computing
IEEE Transactions on Wireless Communications
Time series models for internet traffic
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Architecture for mobility and QoS support in all-IP wireless networks
IEEE Journal on Selected Areas in Communications
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Efficient methods for analyzing vertical handoffs for IP based data sessions are essential for emerging heterogeneous data networks. This is mainly due to the high frequency of vertical handoffs experienced by roaming users in such internetworked environments. This paper presents an analytical approach for evaluating vertical session handoffs in such an environment where the packet arrivals follow a Pareto distribution. The reason behind this assumption is due to the fact that probability distributions with long tails have proven to be better suited for modeling packet inter-arrival times for Internet based data traffic. The analysis and evaluation are applied for a framework previously designed by the authors' for interworking between heterogeneous data networks. Finally, the results obtained from this analysis are compared against the results obtained from a classical queuing model where Poisson arrivals and exponential service times are assumed.