Control models of data flows in Internet under instability
Abstract
This paper deals with the control model of network data flows. We proposed an approach to analyzing network work using fluid models and conflict control theory domain. We obtained analytic solution for certain class of networks and proved time optimality. We considered special case of network activity – denial of service attack.
Prombles in programming 2011; 3: 38-51
Full Text:
PDF (Українська)References
Kelly F.P. Charging and rate control for elastic traffic // European Trans. on Telecommunications. – 1997. – 8. – Р. 33 – 37.
Paganini F., Doyle J.C., Low S.H. Scalable laws for stable network congestion control // Proc. of IEEE Conference on Decision and Control. – 2001. – 1. – P. 185 – 190.
Srikant R. The Mathematics of Internet Congestion Control. – Springer Verlag, 2004. – 137 р.
Afanasyev A., Tilley N., Reiher P., Kleinrock L. Host-to-Host Congestion Control for TCP // IEEE Communications surveys & tutorials. – 2010. – 12 (3). – P. 304 – 342.
Андон П.І., Ігнатенко О.П. Атаки на відмову в мережі Інтернет: опис проблеми та підходів щодо її вирішення / Ін-т програмних систем. – Препр. – К.; 2008. – 50 с.
http://tools.ietf.org/pdf/rfc896.pdf
http://rfc2.ru/793.rfc
Welzl M. Network Congestion Control: Managing Internet Traffic. Wiley. – 2005. – 263 р.
http://tools.ietf.org/html/rfc2309
Low S. Paganini F., Doyle J. Internet congestion control // IEEE Control Syst. Mag. – 2002. – 22 (1). – Р. 28–43.
Low S.H., Srikant R. A Mathematical Framework for Designing a Low-Loss, Low-Delay Internet // Network and Spatial Economics. – 2004. – 4 (1). – P. 75 – 102.
Nazarathy Y., Weiss G. A Fluid Approach to Large Volume Job Shop Scheduling // J. of Scheduling. – 2010. – 13 (5). – P. 509 – 529.
Meyn S. Control Techniques for Complex Networks. – Cambridge University Press. – 2007. – 582 p.
Филиппов А.Ф. Дифференциальные уравнения с разрывной правой частью. – М.: Наука, 1985. – 224 с.
Refbacks
- There are currently no refbacks.