Application of sampling methodologies to network traffic characterization
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Measurement-based admission control with aggregate traffic envelopes
IEEE/ACM Transactions on Networking (TON)
IEEE/ACM Transactions on Networking (TON)
Optimal trajectory to overflow in a queue fed by a large number of sources
Queueing Systems: Theory and Applications
Reduced state fair queuing for edge and core routers
NOSSDAV '04 Proceedings of the 14th international workshop on Network and operating systems support for digital audio and video
Markov models of internet traffic and a new hierarchical MMPP model
Computer Communications
Effective bandwidth shaping: a framework for resource dimensioning-extended version
Computer Communications
A new dynamic guard channel reservation scheme for cellular wireless networks
International Journal of Communication Networks and Distributed Systems
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This paper presents the formulation, modelling and analysis of network traffic for the purpose of designing an edge router. Presuming packet arrival in Poisson's process and departure or service time distribution to be exponential, a Markov model has been developed. The stochastic characteristics of the traffic has been monitored and studied over long durations. Traffic data was captured from internet backbone. Different design parameters like buffer capacity, outgoing link speed and various other key parameters have been derived. Additionally, an algorithm has been suggested to manipulate the weights of the queues dynamically in a weighted round robin scheduling, thereby changing the packet departure rate of the flows. The algorithm eventually provides a control over the load factors and the probability of packet drop of the flows as per the need of quality of service and differentiated service.