DocumentCode :
3240305
Title :
Review on pre-fetching for Mobile Cloud Computing
Author :
Hussien, Nur Syahela ; Sulaiman, Suziah ; Shamsuddin, Siti Mariyam
Author_Institution :
Soft Comput. Res. Group, Univ. Teknol. Malaysia, Skudai, Malaysia
fYear :
2013
fDate :
2-4 Dec. 2013
Firstpage :
130
Lastpage :
135
Abstract :
Improvement of our technology on mobile devices and the significant of cloud computing (CC) services has led to the integration of mobile devices with a CC service called as Mobile Cloud Computing (MCC). It provides many benefits for users. However, the increasing numbers of users utilising the MCC service leads to the latency on the network. Besides, there are several constraints on mobile devices including battery capacity, storage and bandwidth. Hence, this work proposes intelligent mobile web pre-fetching for the cloud environment in order to handle this critical problem. In order to increase understanding of MCC, we conducted an extensive study, previous work on the pre-fetching technique and Machine Learning, which were used to enhance the efficiency and effectiveness of their performance. Our study corroborates that existing systems for the pre-fetching technique focuses on regular websites but it still narrows the study of cloud computing especially for mobile devices and still has limitations.
Keywords :
Web sites; cloud computing; learning (artificial intelligence); mobile computing; storage management; MCC; Web sites; battery capacity; cloud environment; intelligent mobile Web prefetching technology; machine learning; mobile cloud computing; mobile device integration; network bandwidth; network latency; storage capacity; Artificial neural networks; Bandwidth; Cloud computing; Mobile communication; Mobile computing; Mobile handsets; Servers; cloud computing; machine learning; mobile cloud computing; pre-fetching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Learning, e-Management and e-Services (IC3e), 2013 IEEE Conference on
Conference_Location :
Kucing
Print_ISBN :
978-1-4799-1573-6
Type :
conf
DOI :
10.1109/IC3e.2013.6735979
Filename :
6735979
Link To Document :
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