TY - GEN
T1 - Realistic offloading scheme for mobile cloud computing
AU - Jadad, Hamid
AU - Touzene, Abderezak
AU - Alzeidi, Nasser
AU - Day, Khaled
AU - Arafeh, Bassel
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Nowadays, smartphone devices have become very important in our daily life. We carry them everywhere and anytime. This strong dependency has encouraged mobile application developers to develop a wide variety of mobile applications. However, the limitations of smartphone hardware, such as limited processing capacity and limited battery life have become a barrier in front of apps developers. On the other hand, cloud computing is changing the style of delivering IT services. Mobile cloud computing uses the cloud to overcome the mobile device limitations. Many works have been conducted to extend mobile capabilities by offloading intensive application codes to the cloud. However, they did not consider realistic data that dynamically changing in user environment such as processors load, battery level, network bandwidth, etc. in offloading decision. Therefore, this paper aims to propose a new approach that uses realistic data from the user real environment to decide at runtime whether to offload code or not. Our experimental results show that our approach reduces the execution time and battery consumption compared to other approaches that do not take into consideration mobile device condition data.
AB - Nowadays, smartphone devices have become very important in our daily life. We carry them everywhere and anytime. This strong dependency has encouraged mobile application developers to develop a wide variety of mobile applications. However, the limitations of smartphone hardware, such as limited processing capacity and limited battery life have become a barrier in front of apps developers. On the other hand, cloud computing is changing the style of delivering IT services. Mobile cloud computing uses the cloud to overcome the mobile device limitations. Many works have been conducted to extend mobile capabilities by offloading intensive application codes to the cloud. However, they did not consider realistic data that dynamically changing in user environment such as processors load, battery level, network bandwidth, etc. in offloading decision. Therefore, this paper aims to propose a new approach that uses realistic data from the user real environment to decide at runtime whether to offload code or not. Our experimental results show that our approach reduces the execution time and battery consumption compared to other approaches that do not take into consideration mobile device condition data.
KW - Battery life saving
KW - Mobile cloud computing
KW - Offloading
KW - Smartphones
UR - http://www.scopus.com/inward/record.url?scp=84984848259&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84984848259&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-44215-0_7
DO - 10.1007/978-3-319-44215-0_7
M3 - Conference contribution
AN - SCOPUS:84984848259
SN - 9783319442143
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 81
EP - 92
BT - Mobile Web and Intelligent Information Systems - 13th International Conference, MobiWIS 2016, Proceedings
A2 - Awan, Irfan
A2 - van Thanh, Do
A2 - Kryvinska, Natalia
A2 - Strauss, Christine
A2 - Younas, Muhammad
PB - Springer Verlag
T2 - 13th International Conference on Mobile Web and Intelligent Information Systems, MobiWIS 2016
Y2 - 22 August 2016 through 24 August 2016
ER -