DocumentCode :
122558
Title :
The smart distribution of social media contents
Author :
Banditwattanawong, Thepparit ; Masdisornchote, Masawee ; Uthayopas, Putchong
Author_Institution :
Sch. of Inf. Technol., Sripatum Univ., Bangkok, Thailand
fYear :
2014
fDate :
19-21 March 2014
Firstpage :
1
Lastpage :
4
Abstract :
Today´s data such as social media contents and archive of digital contents gathered via ubiquitous devices have been hosted on cloud and being shared in a distribution manner. This causes network link congestions, delayed cloud services and increases in public cloud data-out charges. Simulations have demonstrated that deploying our approach, i-Cloud, as the core mechanism of cloud cache could alleviate these problems up to 17.24% byte-hit and cost-saving, 17.96% delay-saving and 29.33% cache hit outperforming the other well-known approaches. A main finding was that there is no significant performance difference between i-Cloud learning single-user-community patterns and i-Cloud learning cross-user-community patterns of comparable sizes.
Keywords :
cache storage; cloud computing; social networking (online); ubiquitous computing; cloud cache; cost-saving; delay-saving; delayed cloud services; digital contents; i-cloud learning cross-user-community patterns; i-cloud learning single-user-community patterns; network link congestions; public cloud data-out charges; smart distribution; social media contents; ubiquitous devices; Media; World Wide Web; Cloud cache; artificial neural network; contemporaneous proximity; cost-saving ratio; window size;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering Congress (iEECON), 2014 International
Conference_Location :
Chonburi
Type :
conf
DOI :
10.1109/iEECON.2014.6925834
Filename :
6925834
Link To Document :
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