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Analyzing Stability in Wide-area Network Performance by Hari Balakrishnan; Mark Stemm; Srinivasan Seshan; Randy H. Katz is a Computer Science article available to read on EtoBox.

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The Internet is a very large scale, complex, dynamical system that is hard to model and analyze. In this paper, we develop and analyze statistical models for the observed end-to-end network performance based on extensive packet-level traces (consisting of approximately 1.5 billion packets) collected from the primary Web site for the Atlanta Summer Olympic Games in 1996. We find that observed mean throughputs for these transfers measured over 60 million complete connections vary widely as a function of end-host location and time of day, confirming that the Internet is characterized by a large degree of heterogeneity. Despite this heterogeneity, we find (using best-fit linear regression techniques) that we can express the throughput for Web transfers to most hosts as a random variable with a log-normal distribution. Then, using observed throughput as the control parameter, we attempt to quantify the __spatial__ (statistical similarity across neighboring hosts) and __temporal__ (persistence over time) stability of network performance. We find that Internet hosts that are close to each other often have almost identically distributed probability distributions of throughput. We also find

Who reads Analyzing Stability in Wide-area Network Performance?

Author

Hari Balakrishnan; Mark Stemm; Srinivasan Seshan; Randy H. Katz

Publisher

ACM

Published

1997

Language

EN

Field

Computer Science (Physical Sciences)