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:Â
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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Journal ArticleDOI
Profiling Energy Efficiency and Data Communications for Mobile Internet of Things
TL;DR: A cloud orchestration architecture as an epic predictor of behaviours of smart devices by extracting their application characteristics and resource utilization is designed and implemented to perform energy profiling and data analysis on massive data logs.
Proceedings ArticleDOI
E-greenDroid: effective energy inefficiency analysis for android applications
TL;DR: This work re-implement GreenDroid on the newest version of Java Pathfinder, update and optimize the execution simulation process as well as library modeling, and adds support to new Android features such as Fragment, and abstracts a separate and reusable state machine out of AEM.
Proceedings ArticleDOI
Elastic Composition of Crowdsourced IoT Energy Services
TL;DR: In this article, a novel type of service composition, called elastic composition, is proposed to provide a reliable framework in a highly fluctuating IoT energy provisioning settings, which relies on crowdsourcing IoT energy (e.g., wearables) to provide wireless energy to nearby devices.
Patent
Dynamic Adjustment of Mobile Device Based on Voter Feedback
TL;DR: In this article, a mobile device can be configured to monitor environmental, system and user events associated with the mobile device and/or a peer device, and the occurrence of one or more events can trigger adjustments to system settings.
Journal ArticleDOI
Accurate Prediction of Available Battery Time for Mobile Applications
TL;DR: A framework that accurately estimates the remaining battery time of applications at runtime is proposed that profiles the power behavior of applications tied with activated hardware components and estimates the remain battery budget utilizing the battery-related data provided by the device.
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.