Wifi-reports: improving wireless network selection with collaboration
Proceedings of the 7th international conference on Mobile systems, applications, and services
The Case for VM-Based Cloudlets in Mobile Computing
IEEE Pervasive Computing
Practical power modeling of data transmission over 802.11g for wireless applications
Proceedings of the 1st International Conference on Energy-Efficient Computing and Networking
NAPman: network-assisted power management for wifi devices
Proceedings of the 8th international conference on Mobile systems, applications, and services
Cloudtorrent - energy-efficient BitTorrent content sharing for mobile devices via cloud services
CCNC'10 Proceedings of the 7th IEEE conference on Consumer communications and networking conference
Bartendr: a practical approach to energy-aware cellular data scheduling
Proceedings of the sixteenth annual international conference on Mobile computing and networking
CloneCloud: elastic execution between mobile device and cloud
Proceedings of the sixth conference on Computer systems
Accurate, low-energy trajectory mapping for mobile devices
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Improving wireless network performance using sensor hints
Proceedings of the 8th USENIX conference on Networked systems design and implementation
IEEE Journal on Selected Areas in Communications
The case for cloud-enabled mobile sensing services
Proceedings of the first edition of the MCC workshop on Mobile cloud computing
Context-Aware Job Scheduling for Cloud Computing Environments
UCC '12 Proceedings of the 2012 IEEE/ACM Fifth International Conference on Utility and Cloud Computing
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Energy consumption of wireless data communications on mobile devices is growing due to the increase in mobile data traffic caused by the popularity of mobile Internet applications. To address this issue, we propose CasCap, a novel cloud-assisted context-aware power management framework, which takes advantage of the processing, storage and networking resources in the cloud to provide secure, low-cost and efficient power management for mobile devices. CasCap is featured by crowd-sourced context monitoring, functionality offloading to the cloud, and providing adaptations as services. We give three example scenarios where wireless data communications are adapted to network conditions, traffic characteristics and location information. Our preliminary results show the potential of using CasCap to improve energy efficiency in wireless data communications.