V Soteriou, H Wang, L Peh - 14th IEEE International …, 2006 - ieeexplore.ieee.org
Network traffic modeling is a critical first step towards understanding and unraveling network power/performancerelated issues. Extensive prior research in the area of classic networks …
The small-time (sub-seconds) scaling behaviors of Internet backbone traffic, based on traces collected from OC3/12/48 links in a tier-1 ISP is studied. We observe that for a majority of …
Many studies have indicated the importance of capturing scaling properties when modeling traffic loads; however, the influence of long-range dependence (LRD) and marginal statistics …
Reading without meditation is sterile; meditation without reading is liable to error; prayer without meditation is lukewarm; meditation without prayer is unfruitful; prayer, when it is …
АА Коваленко, ГА Кучук, ИВ Рубан - Сучасний стан наукових …, 2018 - itssi-journal.com
Анотація Предмет дослідження: прогнозування довжини черги до комунікаційного пристрою високошвидкісної комп'ютерної мережі при негаусівському трафіку. Мета …
Commonly used measures of traffic burstiness do not capture the fluctuation of traffic variability over the entire range of time-scales. In this paper, we present a measure of …
In this paper, we develop a simple and powerful multiscale model for the synthesis of nonGaussian, long-range dependent (LRD) network traffic. Although wavelets effectively …
J Gao, I Rubin - Computer Communications, 2001 - Elsevier
Source traffic streams as well as aggregated traffic flows often exhibit long-range-dependent (LRD) properties. In this paper, we study traffic streams through their counting process …
We perform an extensive wavelet analysis of Internet backbone traffic traces to observe and understand the causes of small-time scaling phenomena present in them. We observe that …