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Less Impact Better Service (LIBS)

A service paradigm for Internet telephony

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Abstract

We discuss a new packet service paradigm, called “Less Impact Better Service” (LIBS). In simple terms, LIBS primarily schedules packets based on the delay they cause and cancels service differentiation policies when the cumulative delay due to prioritization becomes significant for non-prioritized packets. Based on LIBS, we evaluate different service policies that prioritize small packets using different service boundaries and we show that, by and large, LIBS satisfies better a number of applications with diverse demands in delay and throughput. We emphasize on Voice over IP applications, which are delay-sensitive but also utilize small packets and rates. Among other traditional performance measures, we also measure fairness in the context of LIBS, that is, we address the question whether the delay experienced per flow is proportional to the delay caused by that flow. We obtained very promising simulation results.

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Notes

  1. even if it is measured, the precision and granularity of measurements are dubious

  2. cumulative, not per-flow

  3. it is not significant in our experiments

  4. The R-Factor is encoded in the available bits of the IP header (4 to 17 bits) [29]

  5. The value 100 represents the best voice quality

  6. additional scenarios that evaluate NCQ can be found in [21]

  7. A LIBS router incorporates a LIBS-based mechanism (i.e., one of NCQ, SNCQ or NCQ-VoIP)

References

  1. Bertsekas D, Gallager R (1987) Data networks. Prentice-Hall, Englewood Cliffs (2nd Ed. 1991)

    Google Scholar 

  2. Bless R, Nichols K, Wehrle K (2003) A lower effort per-domain behavior (PDB) for differentiated services. RFC 3662

  3. Brady P (1968) A statistical analysis of on-off patterns in 16 conversations. Bell Syst Tech J 47:73–91

    Google Scholar 

  4. Chiu D, Jain R (1989) Analysis of the increase/decrease algorithms for congestion avoidance in computer networks. Journal of Computer Networks and ISDN 17(1):1–14

    Article  MATH  Google Scholar 

  5. Chung J, Claypool M (2000) Dynamic-CBT and ChIPS router support for improved multimedia performance on the internet. In MULTIMEDIA ’00: Proceedings of the eighth ACM international conference on multimedia. ACM, New York, pp 239–248

    Chapter  Google Scholar 

  6. Cisco (2005) Low latency queuing. http://www.cisco.com/univercd/cc/td/doc/product/software/ios120/120newft/120t/120t7/pqcbwfq.htm

  7. Claypool M, Kinicki R, Kumar A (2005) Traffic sensitive active queue management. In: Proceedings of the 8th IEEE global internet symposium. IEEE, Miami, Florida

    Google Scholar 

  8. Cole R, Rosenbluth J (2001) Voice over IP performance monitoring. ACM SIGCOMM Comput Commun Rev 31(2):9–24

    Article  Google Scholar 

  9. Dang TD, Sonkoly B, Molnar S (2004) Fractal analysis and modeling of VoIP traffic. In: Proceedings of 11th international telecommunications network strategy and planning symposium, NETWORKS 2004. Austria

  10. Feng W, Kandlur D, Saha D, Shin KG (1999) BLUE: a new class of active queue management algorithms. Technical Report CSE-TR-387-99, University of Michigan

  11. Fitzek F, Reisslein M (2001) MPEG-4 and H. 263 video traces for network performance evaluation. IEEE netw 15(6):40–54

    Article  Google Scholar 

  12. Floyd S, Jacobson V (1993) Random early detection gateways for congestion avoidance. IEEE/ACM Trans Netw 1(4):397–413

    Article  Google Scholar 

  13. He X, Papadopoulos C, Radoslavov P (2003) A framework for incremental deployment strategies for router-assisted services. INFOCOM 2003. Twenty-second annual joint conference of the IEEE computer and communications societies. IEEE 2:1488–1498

    Google Scholar 

  14. Huitema C (2003) Real time control protocol (RTCP) attribute in session description protocol (SDP). Technical report, RFC 3605

  15. Hurley P, Boudec J, Thiran P, Kara M (2001) ABE: providing a low-delay service within best-effort. IEEE Netw 15(3):60–69

    Article  Google Scholar 

  16. IETF (2000) Integrated services charter. http://www.ietf.org/html.charters/OLD/intserv-charter.html

  17. IETF (2003) Differentiated services charter. http://www.ietf.org/html.charters/OLD/diffserv-charter.html

  18. ITU-T Recommendation G.107 (1998) The E-Model, a computational model for use in transmission planning

  19. ITU-T Recommendation G.113 (1996) General characteristics of general telephone connections and telephone circuits—transmission impairments

  20. ITU-T Recommendation G.711 (1988) Pulse code modulation (PCM) of voice frequencies

  21. Mamatas L, Tsaoussidis V (2009) Differentiating services with Non-Congestive Queuing (NCQ). IEEE Trans Comput 58(5):591–604

    Article  Google Scholar 

  22. Mamatas L, Tsaoussidis V (2006) A new approach to service differentiation: Non-Congestive Queuing. In: ICST first international workshop on convergence of heterogeneous wireless networks (CONWIN2005). ICST, Budapest

    Google Scholar 

  23. Mamatas L, Tsaoussidis V (2007) Differentiating services for sensor internetworking. In: IFIP fifth annual mediterranean ad hoc networking workshop (Med-Hoc-Net 2007). IFIP, Corfu

    Google Scholar 

  24. Marsan M, Gerla M (1982) Fairness in local computing networks. In: IEEE ICC ’82, Philadelphia, IEEE

  25. McCanne S, Floyd S (1997) NS-2 network simulator

  26. Noureddine W, Tobagi F (2002) Improving the performance of interactive tcp applications using service differentiation. Comput Networks 40(1):19–43

    Article  Google Scholar 

  27. Papastergiou G, Georgiou C, Mamatas L, Tsaoussidis V (2009) On short packets first: a delay-oriented prioritization policy. Int J Commun Syst (in press)

  28. Parris M, Jeffay K, Smith F (1999) Lightweight active router-queue management for multimedia networking. In: Proceedings of SPIE conference on multimedia computing and networking, vol 3654. SPIE, San Jose

  29. Stoica I, Zhang H (1999) Providing guaranteed services without per flow management. ACM SIGCOMM Comput Commun Rev 29(4):81–94

    Article  Google Scholar 

  30. Tsaoussidis V, Zhang C (2002) TCP-Real: receiver-oriented congestion control. Comput Networks 40(4):477–497

    Article  Google Scholar 

  31. Tsaoussidis V, Zhang C (2005) The dynamics of responsiveness and smoothness in heterogeneous networks. IEEE J Sel Areas Commun 23(6):1178–1189

    Article  Google Scholar 

  32. Zhang H (1995) Service disciplines for guaranteed performance service in packet-switching networks. Proc IEEE 83(10):1374–1396

    Article  Google Scholar 

  33. Zhang L, Deering S, Estrin D, Shenker S, Zappala D (2002) RSVP: a new resource reservation protocol. IEEE Commun Mag 40(5):116–127

    Article  Google Scholar 

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Correspondence to Lefteris Mamatas.

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Mamatas, L., Tsaoussidis, V. Less Impact Better Service (LIBS). Ann. Telecommun. 65, 447–459 (2010). https://doi.org/10.1007/s12243-010-0175-1

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