DocumentCode
1778025
Title
Tracking a single node´s availability for communication by means of observing local system resources
Author
Eken, Suleyman ; Kaya, Fidan ; Sayar, A. ; Kavak, A.
Author_Institution
Comput. Eng. Dept., Kocaeli Univ., İzmit, Turkey
fYear
2014
fDate
23-25 June 2014
Firstpage
41
Lastpage
45
Abstract
“Movement of Enhancing Opportunities and Improving Technology”, abbreviated as Fatih, is among the most important educational projects in Turkey, in which students and teachers can use their tablet PCs to obtain educational data (text, images, media, etc.) stored in cloud services. However, the limited network bandwidth and increase in both the number of users and their educational data sizes degrade the system performance and even negatively affect the overall usability of the system. Using proxy server is an approach to both decreasing network traffic and increasing the efficiency in data transfers between end users and cloud services. In this approach, it is critical that when synchronization process will be performed. In this paper, bandwidth utilization, CPU and memory usage information have been examined for obtaining accurate synchronization time for this school level proxy server based distributed systems architecture. In order to minimize effect of too large and too small CPU and memory usage data, we use min-max normalization. Also, multiple linear regression is used to estimate a node´s availability for communication. Experimental results show that proposed technique is feasible not only for school level proxy server based systems but also for other systems.
Keywords
cloud computing; distributed processing; educational administrative data processing; network servers; regression analysis; synchronisation; telecommunication traffic; Fatih; Turkey; bandwidth utilization; cloud services; data transfers; educational projects; local system resources; memory usage data; memory usage information; min-max normalization; movement of enhancing opportunities and improving technology; multiple linear regression; network bandwidth; network traffic; school level proxy server based distributed system architecture; single node availability tracking; small CPU; synchronization process; synchronization time; tablet PCs; Bandwidth; Educational institutions; Linear regression; Servers; Synchronization; Telecommunication traffic; Distributed File Synchronization; Idle Time Detection Algorithm; Min-max Normalization; Multiple Linear Regression; Network Traffic;
fLanguage
English
Publisher
ieee
Conference_Titel
Innovations in Intelligent Systems and Applications (INISTA) Proceedings, 2014 IEEE International Symposium on
Conference_Location
Alberobello
Print_ISBN
978-1-4799-3019-7
Type
conf
DOI
10.1109/INISTA.2014.6873595
Filename
6873595
Link To Document