access icon free Fundamental trade-offs between resource separation and resource share for quality of service guarantees

There are two possible resource-allocation strategies for the quality of service (QoS) guarantee in the Internet: the resource separation and the resource share. The resource-separation strategy allows a prioritised flow to occupy its own network resource, which is physically or logically separated from resources used by other traffic. The resource-sharing strategy secures some portion of network resources for prioritised traffic, but secured resource is shared by all of prioritised flows. This study compares these two resource-allocation strategies in terms of the provided QoS level. It is found that the two strategies form a striking contrast to each other in terms of the resource usage. The resource share can benefit from the statistical multiplexing gain, but it increases the envelope of each individual multiplexed flow. In contrast to this, the resource separation does not increase the envelope of flows so much, while it does not benefit from the statistical multiplexing gain. That is, the general belief that the resource separation like the IntServ provides better QoS is not always true, and various conditions including network topology or QoS target would determine which strategy is preferable.

Inspec keywords: Internet; telecommunication traffic; resource allocation; telecommunication network topology; quality of service

Other keywords: IntServ; statistical multiplexing gain; Internet; QoS; resource separation; resource-allocation strategies; network resource; quality of service guarantees; network topology; resource-sharing strategy; prioritised traffic

Subjects: Other computer networks; Communication network design, planning and routing; Computer communications

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 6. Vojnović, M., Le Boudec, J.-Y.: ‘Stochastic analysis of some expedited forwarding networks’. IEEE INFOCOM, 2002.
    5. 5)
    6. 6)
      • 7. Le Boudec, J.-Y., Thiran, P.: ‘Network calculus – a theory of deterministic queueing systems for the internet’ (Springer-Verlag, 2004).
    7. 7)
      • 14. Ciucu, F., Schmitt, J.: ‘Perspectives on network calculus: no free lunch, but still good value’. ACM SIGCOMM, 2012, pp. 311322.
    8. 8)
    9. 9)
    10. 10)
      • 13. Ciucu, F., Hohlfeld, O.: ‘On computing bounds on average backlogs and delays with network calculus’. IEEE ICC, 2010.
    11. 11)
    12. 12)
      • 1. Braden, R., Clark, D., Shenker, S.: ‘Integrated services in the Internet architecture: an overview’, RFC 1633, 1994.
    13. 13)
    14. 14)
    15. 15)
      • 2. Breslau, L., Knightly, E.W., Shenker, S., Stoica, I., Zhang, H.: ‘Endpoint admission control: architectural issues and performance’. ACM SIGCOMM ‘00, 2000, pp. 5769.
    16. 16)
      • 4. Chang, C.S., Chiu, Y.M., Song, W.T.: ‘On the performance of multiplexing independent regulated inputs’. ACM SIGMETRICS 2001, 2001, pp. 184193.
    17. 17)
      • 25. ITU-T Recommendation G.723.1: ‘Dual rate speech coder for multimedia communications transmitting at 5.3 and 6.3 kbit/s’.
    18. 18)
    19. 19)
      • 3. Blake, S., Black, D., Carlson, M., et al: ‘An architecture for diffentiated services’, RFC 2475, 1998.
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
      • 9. Nakamura, K., Shioda, S.: ‘Statistical multiplexing of regulated sources having deterministic subadditive envelopes’, J. Oper. Res. Soc. Jpn, 2004, 47, (4), pp. 359378.
    25. 25)
      • 22. ITU-T Recommendation G.729: ‘Coding of speech at 8 kbit/s using conjugate structure algebraic-code-excited linear prediction (CS-ACELP)’.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-net.2013.0120
Loading

Related content

content/journals/10.1049/iet-net.2013.0120
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading