Skip to content Skip to navigation

Connexions

You are here: Home » Content » How does Long-Tail traffic affect Network performance?

Navigation

Content Actions

  • Download module PDF
  • Add to ...
    Add the module to:
    • My Favorites
    • A lens
    • An external social bookmarking service
    • My Favorites (What is 'My Favorites'?)
      'My Favorites' is a special kind of lens which you can use to bookmark modules and collections directly in Connexions. 'My Favorites' can only be seen by you, and collections saved in 'My Favorites' can remember the last module you were on. You need a Connexions account to use 'My Favorites'.
    • A lens (What is a lens?)

      Definition of a lens

      Lenses

      A lens is a custom view of Connexions content. You can think of it as a fancy kind of list that will let you see Connexions through the eyes of organizations and people you trust.

      What is in a lens?

      Lens makers point to Connexions materials (modules and collections), creating a guide that includes their own comments and descriptive tags about the content.

      Who can create a lens?

      Any individual Connexions member, a community, or a respected organization.

    • External bookmarks
  • E-mail the author

Recently Viewed

This feature requires Javascript to be enabled.

How does Long-Tail traffic affect Network performance?

Module by: Arnold Mwesigye

Network performance is affected by the Hurst Parameter. An increase in the Hurst parameter can lead to a reduction in network performance. The extent to which heavy-tailedness degrades network performance is determined by how well congestion control is able to shape source traffic into an on-average constant output stream while conserving information (Wikipedia).

In today's network environment with multimedia and other QoS sensitive traffic streams comprising a growing fraction of network traffic, second order performance measures in the form of “jitter” such as delay variation and packet loss variation are important to provisioning user specified QoS. Self-similar burstiness is expected to exert a negative influence on second order performance measures (Wikipedia).

Packet switching based services, such as the Internet are best-effort services, so degraded performance, although undesirable, can be tolerated. However, since the connection is contracted, ATM networks need to keep delays and jitter within negotiated limits (Wikipedia).

Self-similar traffic exhibits the persistence of clustering which has a negative impact on network performance.

With Poisson traffic (found in conventional telephony networks), clustering occurs in the short term but smooths out over the long term.

With long-tail traffic, the bursty behaviour may itself be bursty, which exacerbates the clustering phenomena, and degrades network performance (Wikipedia).

Many aspects of network quality of service depend on coping with traffic peaks that might cause network failures, such as

Cell/packet loss and queue overflow

Violation of delay bounds e.g. In video

Worst cases in statistical multiplexing

Poisson processes are well-behaved because they are stateless, and peak loading is not sustained, so queues do not fill. With long-range order, peaks last longer and have greater impact: the equilibrium shifts for a while (Wikipedia).

References:

Wikipedia. "Long-tail traffic", Wikimedia Foundation Inc, http://en.wikipedia.org/wiki/Long-tail_traffic, Last accessed 13th February 2006.

Arnold Mwesigye

Comments, questions, feedback, criticisms?

Send feedback