Show simple item record

dc.contributor.authorSarvotham, Shriram
Riedi, Rudolf H.
Baraniuk, Richard G.
dc.creatorSarvotham, Shriram
Riedi, Rudolf H.
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T01:03:47Z
dc.date.available 2007-10-31T01:03:47Z
dc.date.issued 2005-06-01
dc.date.submitted 2006-07-17
dc.identifier.citation S. Sarvotham, R. H. Riedi and R. G. Baraniuk, "Network and User Driven Alpha-Beta Onâ Off Source Model for Network Traffic," Computer Networks, vol. 48, no. 3, 2005.
dc.identifier.urihttps://hdl.handle.net/1911/20320
dc.description Journal Paper
dc.description.abstract We shed light on the effect of network resources and user behavior on network traffic through a physically motivated model. The classical onâ off model successfully captures the long-range, second-order correlations of traffic, allowing us to conclude that transport protocol mechanisms have little influence at time scales beyond the round trip time. However, the onâ off model fails to capture the short-range spikiness of traffic, where protocols and congestion control mechanisms have greater influence. Based on observations at the connection-level we conclude that small rate sessions can be characterized by independent duration and rate, while large rate sessions have independent file size and rate. In other words, user patience is the limiting factor of small bandwidth connections, while users with large bandwidth freely choose their files. We incorporate these insights into an improved two-component onâ off modelâ which we call the alpha-beta onâ off modelâ comprising an aggressive alpha component (high rate, large transfer) and passive beta component (residual). We analyze the performance of our alpha-beta onâ off model and use it to better understand the causes of burstiness and long-range dependence in network traffic. Our analysis yields new insights on Internet traffic dynamics, the effectiveness of congestion control, the performance of potential future network architectures, and the key parameters required for realistic traffic synthesis.
dc.language.iso eng
dc.subjectAlpha-beta on-off model
Network traffic
Long-range dependence
dc.subject.otherDSP for Communications
dc.title Network and User Driven Alpha-Beta Onâ Off Source Model for Network Traffic
dc.type Journal article
dc.citation.bibtexName article
dc.citation.journalTitle Computer Networks
dc.date.modified 2006-07-31
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordAlpha-beta onâ off model
Network traffic
Long-range dependence
dc.citation.volumeNumber 48
dc.citation.issueNumber 3
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.doihttp://dx.doi.org/10.1016/j.comnet.2004.11.024
dc.citation.firstpage 335
dc.citation.lastpage 350


Files in this item

Thumbnail

This item appears in the following Collection(s)

  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1456]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

Show simple item record