A survey of performance optimization for mobile applications

M Hort, M Kechagia, F Sarro… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To ensure user satisfaction and success of mobile applications, it is important to provide
highly performant applications. This is particularly important for resource-constrained …

Recent advances in wearable sensing technologies

AJ Perez, S Zeadally - Sensors, 2021 - mdpi.com
Wearable sensing technologies are having a worldwide impact on the creation of novel
business opportunities and application services that are benefiting the common citizen. By …

Passive {Wi-Fi}: Bringing Low Power to {Wi-Fi} Transmissions

B Kellogg, V Talla, S Gollakota, JR Smith - 13th USENIX Symposium on …, 2016 - usenix.org
Wi-Fi has traditionally been considered a power-consuming communication system and has
not been widely adopting in the sensor network and IoT space. We introduce Passive Wi-Fi …

System and method for creating and assigning a policy for a mobile communications device based on personal data

TM Wyatt, KP Mahaffey, DL Richardson… - US Patent …, 2017 - Google Patents
(57) ABSTRACT A system and method to create and assign a policy for a mobile
communications device are disclosed. The policy may be created based on personal data …

Estimating mobile application energy consumption using program analysis

S Hao, D Li, WGJ Halfond… - 2013 35th international …, 2013 - ieeexplore.ieee.org
Optimizing the energy efficiency of mobile applications can greatly increase user
satisfaction. However, developers lack viable techniques for estimating the energy …

Calculating source line level energy information for android applications

D Li, S Hao, WGJ Halfond, R Govindan - Proceedings of the 2013 …, 2013 - dl.acm.org
The popularity of mobile apps continues to grow as developers take advantage of the
sensors and data available on mobile devices. However, the increased functionality comes …

Characterizing and modeling the impact of wireless signal strength on smartphone battery drain

N Ding, D Wagner, X Chen, A Pathak, YC Hu… - ACM SIGMETRICS …, 2013 - dl.acm.org
Despite the tremendous market penetration of smartphones, their utility has been and will
remain severely limited by their battery life. A major source of smartphone battery drain is …

[КНИГА][B] Mobile cloud computing: foundations and service models

D Huang, H Wu - 2017 - books.google.com
Mobile Cloud Computing: Foundations and Service Models combines cloud computing,
mobile computing and wireless networking to bring new computational resources for mobile …

Carat: Collaborative energy diagnosis for mobile devices

AJ Oliner, AP Iyer, I Stoica, E Lagerspetz… - Proceedings of the 11th …, 2013 - dl.acm.org
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 …

Fleet: Online federated learning via staleness awareness and performance prediction

G Damaskinos, R Guerraoui, AM Kermarrec… - ACM Transactions on …, 2022 - dl.acm.org
Federated learning (FL) is very appealing for its privacy benefits: essentially, a global model
is trained with updates computed on mobile devices while kee** the data of users local …