Abstract—Tablets receive educational data from cloud
servers in envisaged structure of Fatih (Movement of
Enhancing Opportunities and Improving Technology)
project. Constraints such as increasing educational data size,
droping in internet connection speed and limited bandwidth
cause increasing time and cost for data transfers. Employing
school level proxy server in Fatih project ecosystem is
promising approach to overcome these problems. It is critical
to estimate idle time for synchronization between cloud and
proxy server. In this study, two different idle time estimation
approaches are compared. While former one is based on
local system resources such as CPU and memory usage,
latter one is based on measuring and clustering RTT values.
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Büyük Veri, Paralel İşleme ve Akademisyenlik [Link]
Veri Analitiği & Büyük Veri [Link]