The Goals and Benefits of Network Modelling in a Commercial Environment

• Autorzy: Smith E.
• Języki publikacji: EN

Abstrakty

EN

Modelling is a technique that can be used in the development and sizing of networks. It involves building a mathematical representation of a physical system and is often computer based, allowing system behaviour to be investigated based on the variation of key parameters. This pa- per will describe some applicable tools for network modelling and consider a range of applications. Whilst modelling and simulation tools are used extensively to design and size ICT solutions, each tool tends to be targeted at a specific range of applications and a specific user community. It is shown that different tools expect different levels of expertise from their user communities. The benefits of using such tools are described, as are some of their limitations. Modelling and simulation provide a cheaper and faster approach to trying new ideas than building prototypes or test networks. They provide a valuable guide to designing networks and can predict operational outcomes.

Słowa kluczowe

EN

emulation; modelling; performance; service quality; simulation

• Wydawca: Instytut Łączności - Państwowy Instytut Badawczy
• Czasopismo: Journal of Telecommunications and Information Technology
• Rocznik: 2013
• Tom: nr 1
• Strony: 25--31
• Opis fizyczny: Bibliogr. 27 poz., rys.

Twórcy

autor

Smith E.

• British Telecom, Bracknell ATE, Market St, Bracknell, Berkshire, RG12 1JG, United Kingdom,

Bibliografia

• [1] J. Al-Khalali, Pathfinders: The Golden Age of Arabic Science. London: Penguin, 2010.
• [2] I. Peterson, The Mathematical Tourist. New York: W. H. Freeman, 1988.
• [3] B. B. Mandelbrot and R. L. Hudson, The Misbehaviour of Markets. London: Profile Books, 2008.
• [4] I. Stewart, Does God Play Dice? London: Penguin, 1997.
• [5] http://en.wikipedia.org/wiki/Network simulation (accessed 14-6-2012).
• [6] O. Tanir and R. J. Booth, “Call Center Simulation in Bell Canada”, in Proc. Winter Simul. Conf., Phoenix, AZ, USA, 1999, pp. 1640–1646.
• [7] http://www.cisco.com/en/US/solutions/collateral/ns340/ns394/ns165/ns45/ns14/net brochure09186a00800a3296.pdf (accessed 14-6-2012).
• [8] https://www.vtrenz.net/imaeds/ownerassets/681/IEX TotalView Central3.12Version.pdf (accessed 14-6-2012).
• [9] W. Durr, “Spreadsheets and Workforce Management – An odd couple” [Online]. Available: http://verint.com/contact center/resources/files/256/Odd Couple US.pdf?dt=wp (accessed 14-6-2012)
• [10] V. Mehrotra and J. Fama, “Contact Centre Simulation Modelling: Methods, Challenges and Opportunities”, in Proc. Winter Simul. Conf., New Orleans, LA, USA, 2003, pp. 135–143 [Online]. Available: http://www.informs-sim.org/wsc03papers/016.pdf (accessed 14-6-2012).
• [11] http://www.aspect.com/performanceedge/brochures/ PerformanceEdge Workforce-Management Brochure.pdf
• [12] J. Xiao, and R. Boutaba, “Assessing Network Service Profitability Modelling from a Market Space Perspective”, IEEE/ACM Trans. Netw., vol. 15, pp. 1307–1319, 2007.
• [13] M. J. Alarcón, D. Andina, J. B. Grau, and J. Torres, “Service Assurance in fixed broadband networks”, in Proc. 49th FITCE Conf., Santiago De Composella, Spain, 2010, pp. 20–24.
• [14] V. Kirthikeyin and D. Nank, “Link Failure Prediction in IP Networks”, J. Institute of Telecom. Prof., vol. 5, part 3, pp. 33–41, 2011.
• [15] C. J. Tyrrell, “Custon Network Design and Pricing Tools”, BT Tech- nol. J., pp. 30–35, vol, 18, no. 2, 2000.
• [16] Y. Zheng and S. Akhtar, Networks for Scientists and Engineers. New York: Oxford University Press, 2002, pp. 379–406.
• [17] http://www.opnet.com/?gclid=CI2smsecuJwCFc0B4wod318WnA (accessed 14-6-2012).
• [18] http://privatewww.essex.ac.uk/ fleum/weas.pdf (accessed 14-6-2012).
• [19] http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=478790&isnumber=10228 (accessed 14-6-2012).
• [20] http://www.isi.edu/nsnam/ns/ns-tutorial/ipam 0203 john.pdf (accessed 14-6-2012).
• [21] M. A. Rahman, A. Pakˇštas, and F. Z. Wang, “Review: Network Modelling and Simulation Tools”, Simul. Model. Pract. Theory, vol. 17, pp. 1011-1031, 2009.
• [22] J. Gordon, “Pareto Process as a Model for Self Similar Packet Traffic”, in Proc. IEEE Global Telecomm. Conf. GLOBECOM’95, Singapore, 1995, vol. 3, pp. 2232–2236.
• [23] Y. G. Kim and P. S. Min, “On the Prediction of Average Queuing Delay with Self Similar Traffic”, in Proc. IEEE Global Telecomm. Conf. GLOBECOM’03, San Francisco, USA, 2003, pp. 2987–2991.
• [24] Z. Quan and J.-M. Chung, “Impact of Self Similarity on Performance Evaluation in Differential Service Networks”, in Proc. 45th Midwest Symp. Circ. Syst. MWSCAS 2002, Tulsa, OK, USA, 2002, pp. II-326–II-329.
• [25] P. Leys, J. Potemans, B. Van den Broeck, J. Theunis, E. Van Lil, and A. Van de Capelle , “Use of Raw Packet Generator in OPNET” [Online]. Available: www.esat.kuleuven.ac.be/telematic/networking/ opnetwork02 pieter.pdf
• [26] Y. Zhu and T. Kunz, “MAODV Implementation for NS-2.26” [Online]. Available: http://kunz-pc.sce.carleton.ca/thesis/maodv-ns-2.26.pdf
• [27] T. R. Andel, and A. Yasinsac, “On the Credibility of Manet Simulations”, IEEE Comp., vol. 39, no. 7, pp. 48–54, 2006.