Impact of aggregation on scaling behavior of Internet backbone traffic

Zhi-Li Zhang, Vinay J. Ribeiro, Sue Moon, Christophe Diot

Research output: Contribution to journalArticlepeer-review

Abstract

We study the impact of aggregation on the scaling behavior of Internet backbone traffic, based on traces collected from OC3 and OC12 links in a tier-1 ISP. We make two striking observations regarding the sub-second small time scaling behaviors of Internet backbone traffic: 1) for a majority of these traces, the Hurst parameters at small time scales (1ms - 100 ms) are fairly close to 0.5. Hence the traffic at these time scales are nearly uncorrelated; 2) the scaling behaviors at small time scales are link-dependent, and stay fairly invariant over changing utilization and time. To understand the scaling behavior of network traffic, we develop analytical models and employ them to demonstrate how traffic composition - aggregation of traffic with different characteristics - affects the small-time scalings of network traffic. The degree of aggregation and burst correlation structure are two major factors in traffic composition. Our trace-based data analysis confirms this. Furthermore, we discover that traffic composition on a backbone link stays fairly consistent over time and changing utilization, which we believe is the cause for the invariant small-time scalings we observe in the traces.

Original languageEnglish (US)
Pages (from-to)223-233
Number of pages11
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4868
DOIs
StatePublished - Jan 1 2002

Keywords

  • Internet backbone
  • Scaling behavior
  • Traffic aggregation
  • Traffic composition
  • Wavelet analysis

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