Information Technologies and Mathematical Modelling

Flexibility and programmability are key features of open networking platforms to effectively design, develop and assess new Future Internet architectures. This paper introduces a novel framework, based on open source software and PC hardware, that defines all the building blocks necessary to provide a full set of advanced networking capabilities (including QoS support and Traffic Engineering). The framework implementation also takes into account software reuse by facilitating maintenance and customization of the network protocol stack in software routers. The proposed open framework is also available as live distributions, which allow network designers to take advantage of its capabilities with a short learning curve.

[1]  Gábor Horváth,et al.  A minimal representation of Markov arrival processes and a moments matching method , 2007, Perform. Evaluation.

[2]  Anurag Kumar,et al.  Comparative performance analysis of versions of TCP in a local network with a lossy link , 1998, TNET.

[3]  Archan Misra,et al.  The window distribution of multiple TCPs with random loss queues , 1999, Seamless Interconnection for Universal Services. Global Telecommunications Conference. GLOBECOM'99. (Cat. No.99CH37042).

[4]  Andrew H. Kemp,et al.  Analytical Model of TCP NewReno through a CTMC , 2009, EPEW.

[5]  Adam Wierman,et al.  A unified framework for modeling TCP-Vegas, TCP-SACK, and TCP-Reno , 2003, 11th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer Telecommunications Systems, 2003. MASCOTS 2003..

[6]  H. Vaziri,et al.  A numerical model for analysis of flexible beam-columns on elastic foundations , 1992 .

[7]  Chien-Shu Hsieh.  On the optimality of two‐stage Kalman filtering for systems with unknown inputs , 2010 .

[8]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1971 .

[9]  Fayun Liang,et al.  Numerical analysis of composite piled raft with cushion subjected to vertical load , 2003 .

[10]  D. Muir Wood,et al.  Group effects in stone column foundations: model tests , 2000 .

[11]  J. D. Bennell.  Foundation Vibration Analysis: A Strength of Materials Approach, J.P. Wolf, A.J. Deeks. Elsevier, Amsterdam (2004), (pp. xiii+218, US$59.95, £40), ISBN: 0-7506-6164-X , 2005 .

[12]  M. Neuts.  A Versatile Markovian Point Process , 1979 .

[13]  Debassey Fesehaye Kassa,et al.  Analytic models of TCP performance , 2011 .

[14]  Optimal state estimation in MAP event flows with unextendable dead time , 2012 .

[15]  Estimation of the dead time period and parameters of an asynchronous alternative flow of events with unextendable dead time period , 2005 .

[16]  Bin Sun,et al.  A multiserver MAP/PH/N system with controlled broadcasting by unreliable servers , 2009, Automatic Control and Computer Sciences.

[17]  H. Okamura,et al.  Markovian Arrival Process Parameter Estimation With Group Data , 2009, IEEE/ACM Transactions on Networking.

[18]  Jitendra Padhye,et al.  A Stochastic Model of TCP Reno Congestion Avoidence and Control , 1999 .

[19]  Bart De Moor,et al.  Unbiased minimum-variance input and state estimation for linear discrete-time systems , 2007, Autom..

[20]  V. N. Zadorozhnyi,et al.  Methods of Simulation Queueing Systems with Heavy Tails , 2016 .

[21]  Solution to the problem on vibration of an elastic solid with inner cavities , 2002 .

[22]  J. Kingman.  On doubly stochastic Poisson processes , 1964, Mathematical Proceedings of the Cambridge Philosophical Society.

[23]  D. Cox.  Some Statistical Methods Connected with Series of Events , 1955 .

[24]  Claudio Casetti,et al.  An analytical framework for the performance evaluation of TCP Reno connections , 2001, Comput. Networks.

[25]  Karl Brammer,et al.  Kalman-Bucy filters , 1989 .