Evaluating novel networked protocols and services requires subjecting the target system to realistic Internet conditions. However, there is no common understanding of what is required to capture such realism. Conventional wisdom suggests that competing background traf\ufb01c will in\ufb02uence service and protocol behavior. Once again however, there is no understanding of what aspects of background traf\ufb01c are important and the extent to which services are sensitive to these characteristics. Earlier work shows that Internet traf\ufb01c demonstrates signi\ufb01cant burstiness at a range of time scales. Unfortunately, existing systems evaluations either do not consider background traf\ufb01c or employ simple synthetic models, e.g., based on Poisson arrivals, that do not capture these burstiness properties. In this paper, we show that realistic background traf\ufb01c, has qualitatively different impact on application and protocol behavior than simple traf\ufb01c models. One conclusion from our work is that applications should be evaluated under a range of background traf\ufb01c characteristics to determine the relative merits of applications and to understand behavior in corner cases of live deployment.<\/p>\n","protected":false},"excerpt":{"rendered":"
Evaluating novel networked protocols and services requires subjecting the target system to realistic Internet conditions. However, there is no common understanding of what is required to capture such realism. Conventional wisdom suggests that competing background traf\ufb01c will in\ufb02uence service and protocol behavior. 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