On context in authorization policy
Proceedings of the eighth ACM symposium on Access control models and technologies
Simplifying cyber foraging for mobile devices
Proceedings of the 5th international conference on Mobile systems, applications and services
A framework of energy efficient mobile sensing for automatic user state recognition
Proceedings of the 7th international conference on Mobile systems, applications, and services
Darwin phones: the evolution of sensing and inference on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
The Jigsaw continuous sensing engine for mobile phone applications
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
CasCap: cloud-assisted context-aware power management for mobile devices
MCS '11 Proceedings of the second international workshop on Mobile cloud computing and services
ErdOS: achieving energy savings in mobile OS
MobiArch '11 Proceedings of the sixth international workshop on MobiArch
Optimizing Sensor Data Acquisition for Energy-Efficient Smartphone-Based Continuous Event Processing
MDM '11 Proceedings of the 2011 IEEE 12th International Conference on Mobile Data Management - Volume 01
Balancing energy, latency and accuracy for mobile sensor data classification
Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
Towards crowd-aware sensing platform for metropolitan environments
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
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We make the case for cloud-enabled mobile sensing services that support an emerging application class, one which infers near-real time collective context using sensor data obtained continuously from a large set of consumer mobile devices. We present the high-level architecture and functional requirements for such a mobile sensing service, and argue that such a service can significantly improve the scalability and energy-efficiency of large-scale mobile sensing by coordinating the sensing & processing tasks across multiple devices. We then focus specifically on the problem of energy-efficiency and provide early exemplars of how optimizing query execution jointly over multiple phones can lead to substantial energy savings.