Proceedings ArticleDOI
Carat: collaborative energy diagnosis for mobile devices
TLDR
During a deployment to a community of more than 500,000 devices, Carat diagnosed thousands of energy anomalies in the wild and increased a user's battery life by 11% after 10 days (compared with 1.9% for the control group).Abstract:
We aim to detect and diagnose energy anomalies, abnormally heavy battery use. This paper describes a collaborative black-box method, and an implementation called Carat, for diagnosing anomalies on mobile devices. A client app sends intermittent, coarse-grained measurements to a server, which correlates higher expected energy use with client properties like the running apps, device model, and operating system. The analysis quantifies the error and confidence associated with a diagnosis, suggests actions the user could take to improve battery life, and projects the amount of improvement. During a deployment to a community of more than 500,000 devices, Carat diagnosed thousands of energy anomalies in the wild. Carat detected all synthetically injected anomalies, produced no known instances of false positives, projected the battery impact of anomalies with 95% accuracy, and, on average, increased a user's battery life by 11% after 10 days (compared with 1.9% for the control group).read more
Citations
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Dissertation
Vers une dissémination efficace de données volumineuses sur des réseaux wi-fi denses
TL;DR: Les technologies de communication Device-to-Device (D2D) comme Bluetooth ou Wi-Fi Direct permettent de mieux exploiter les ressources du reseau and d’ameliorer les performances pour offrir une meilleure qualite d”experience (QoE) aux utilisateurs.
Proceedings ArticleDOI
Sensorclone: a framework for harnessing smart devices with virtual sensors
Huber Flores,Pan Hui,Sasu Tarkoma,Yong Li,Theodoros Anagnostopoulos,Vassilis Kostakos,Chu Luo,Xiang Su +7 more
TL;DR: This work proposes a cloud-based framework namely SensorClone, which relies on virtual devices to improve IoT resilience, and makes contributions towards improving IoT scalability and resilience by using virtual devices.
Journal ArticleDOI
Scalable Power Impact Prediction of Mobile Sensing Applications at Pre-Installation Time
TL;DR: A novel power emulator is developed as a core component of PowerForecaster, which achieves accurate, personalized power estimation by reproducing users' behaviors and emulating the target app's power use and addresses the problem of dealing with large-scale emulation requests from worldwide deployment.
Patent
User device power consumption monitoring and analysis
TL;DR: In this paper, the power consumption of a user device is monitored as an application on the user device performs one or more actions, and monitoring commands for a power monitor may be generated based on a script.
Posted Content
How Long Will My Phone Battery Last
Liang He,Kang G. Shin +1 more
TL;DR: V-Health, a low-cost user-level SoH estimation service for mobile devices based only on their battery voltage, which is commonly available on all commodity mobile devices, is designed, implemented and evaluated.
References
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Proceedings Article
Spark: cluster computing with working sets
TL;DR: Spark can outperform Hadoop by 10x in iterative machine learning jobs, and can be used to interactively query a 39 GB dataset with sub-second response time.
Proceedings Article
Bro: a system for detecting network intruders in real-time
TL;DR: Bro as mentioned in this paper is a stand-alone system for detecting network intruders in real-time by passively monitoring a network link over which the intruder's traffic transits, which emphasizes high-speed (FDDI-rate) monitoring, realtime notification, clear separation between mechanism and policy and extensibility.
Journal ArticleDOI
Bro: a system for detecting network intruders in real-time
Vern Paxson,Vern Paxson +1 more
TL;DR: An overview of the Bro system's design, which emphasizes high-speed (FDDI-rate) monitoring, real-time notification, clear separation between mechanism and policy, and extensibility, is given.
Proceedings ArticleDOI
Energy consumption in mobile phones: a measurement study and implications for network applications
TL;DR: TailEnder is developed, a protocol that reduces energy consumption of common mobile applications and aggressively prefetches several times more data and improves user-specified response times while consuming less energy.
Journal ArticleDOI
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
TL;DR: This paper surveys existing work on decision tree construction, attempting to identify the important issues involved, directions the work has taken and the current state of the art.