Wake on wireless: an event driven energy saving strategy for battery operated devices
Proceedings of the 8th annual international conference on Mobile computing and networking
μSleep: a technique for reducing energy consumption in handheld devices
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Adaptive Offloading for Pervasive Computing
IEEE Pervasive Computing
Studying Energy Trade Offs in Offloading Computation/Compilation in Java-Enabled Mobile Devices
IEEE Transactions on Parallel and Distributed Systems
Performance prediction of component-based applications
Journal of Systems and Software - Special issue: Automated component-based software engineering
An Adaptive Multi-Constraint Partitioning Algorithm for Offloading in Pervasive Systems
PERCOM '06 Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications
CoolSpots: reducing the power consumption of wireless mobile devices with multiple radio interfaces
Proceedings of the 4th international conference on Mobile systems, applications and services
Adaptive computation offloading for energy conservation on battery-powered systems
ICPADS '07 Proceedings of the 13th International Conference on Parallel and Distributed Systems - Volume 01
Modeling the energy cost of applications on portable wireless devices
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Blue-Fi: enhancing Wi-Fi performance using bluetooth signals
Proceedings of the 7th international conference on Mobile systems, applications, and services
Precise Worst-Case Execution Time Analysis for Processors with Timing Anomalies
ECRTS '09 Proceedings of the 2009 21st Euromicro Conference on Real-Time Systems
Worst-case execution time analysis for a Java processor
Software—Practice & Experience
Dynamically partitioning applications between weak devices and clouds
Proceedings of the 1st ACM Workshop on Mobile Cloud Computing & Services: Social Networks and Beyond
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
NAPman: network-assisted power management for wifi devices
Proceedings of the 8th international conference on Mobile systems, applications, and services
Augmenting mobile 3G using WiFi
Proceedings of the 8th international conference on Mobile systems, applications, and services
Tradeoff between energy savings and privacy protection in computation offloading
Proceedings of the 16th ACM/IEEE international symposium on Low power electronics and design
Stratus: energy-efficient mobile communication using cloud support
Proceedings of the ACM SIGCOMM 2010 conference
ZiFi: wireless LAN discovery via ZigBee interference signatures
Proceedings of the sixteenth annual international conference on Mobile computing and networking
Energy efficiency of mobile clients in cloud computing
HotCloud'10 Proceedings of the 2nd USENIX conference on Hot topics in cloud computing
A System-Level Model for Runtime Power Estimation on Mobile Devices
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Low power techniques for an android based phone
ACM SIGARCH Computer Architecture News
Monitoring Energy Consumption of Smartphones
ITHINGSCPSCOM '11 Proceedings of the 2011 International Conference on Internet of Things and 4th International Conference on Cyber, Physical and Social Computing
Energy efficiency of mobile handsets: Measuring user attitudes and behavior
Telematics and Informatics
Dynamic intelligence towards merging cloud and communication services
Information Systems Frontiers
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With prosperity of applications on smartphones, energy saving for smartphones has drawn increasing attention. In this paper we devise Phone2Cloud, a computation offloading-based system for energy saving on smartphones in the context of mobile cloud computing. Phone2Cloud offloads computation of an application running on smartphones to the cloud. The objective is to improve energy efficiency of smartphones and at the same time, enhance the application's performance through reducing its execution time. In this way, the user's experience can be improved. We implement the prototype of Phone2Cloud on Android and Hadoop environment. Two sets of experiments, including application experiments and scenario experiments, are conducted to evaluate the system. The experimental results show that Phone2Cloud can effectively save energy for smartphones and reduce the application's execution time.