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Journal ArticleDOI

Constella: Crowdsourced system setting recommendations for mobile devices

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TLDR
Constella is developed, a novel recommender system for system settings that provides actionable and human-readable recommendations on how to adjust system settings in order to reduce overall battery drain, and is validated through a hardware power measurement experiment.
About
This article is published in Pervasive and Mobile Computing.The article was published on 2016-02-01. It has received 16 citations till now. The article focuses on the topics: Battery (electricity).

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Citations
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Journal ArticleDOI

Evidence-Aware Mobile Computational Offloading

TL;DR: The feasibility of using crowdsensing to characterize offloading contexts through an analysis of two crowdsensing datasets is demonstrated, and the design and development of the EMCO toolkit and platform are presented as a novel solution for computational offloading.
Journal ArticleDOI

A survey on energy estimation and power modeling schemes for smartphone applications

TL;DR: To optimize smartphone application energy estimation, several research issues are highlighted to help researchers of this domain to understand the problem clearly and compare existing energy estimation and modeling schemes based on a set of parameters common in most literature to highlight the commonalities and differences among reported literature.
Posted Content

Android Code Protection via Obfuscation Techniques: Past, Present and Future Directions

TL;DR: A survey is conducted to uncover answers to concrete and relevant questions concerning Android code obfuscation and protection techniques, and to investigate efficiency of the defense techniques used for code protection.
References
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Journal ArticleDOI

Matrix Factorization Techniques for Recommender Systems

TL;DR: As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels.
Proceedings Article

Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing

TL;DR: Resilient Distributed Datasets is presented, a distributed memory abstraction that lets programmers perform in-memory computations on large clusters in a fault-tolerant manner and is implemented in a system called Spark, which is evaluated through a variety of user applications and benchmarks.
Book

Handbook Of Batteries

David Linden
TL;DR: In this article, the authors present the principles of operation and reactions factors affecting battery performance standardization of battery design selection and application of batteries, as well as a discussion of the differences between primary and secondary batteries.
Proceedings ArticleDOI

Accurate online power estimation and automatic battery behavior based power model generation for smartphones

TL;DR: PowerBooter is an automated power model construction technique that uses built-in battery voltage sensors and knowledge of battery discharge behavior to monitor power consumption while explicitly controlling the power management and activity states of individual components.
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