Mobile device power models for energy efficient dynamic offloading at runtime-Reference-Cited by-同舟云学术

Mobile device power models for energy efficient dynamic offloading at runtime

Published:2016-03 Issue: Volume:113 Page:173-187
ISSN:0164-1212
Container-title:Journal of Systems and Software
language:en
Short-container-title:Journal of Systems and Software

Author:

Ali Farhan Azmat,Simoens Pieter,Verbelen Tim,Demeester Piet,Dhoedt Bart

Funder

Universiteit Gent

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Software

Reference34 articles.

1. Atluri, V., Cakmak, U., Lee, R., Varanasi, S., 2012.A new era of personalized computing.[Online] Available: https://tmt.mckinsey.com/content/publications. Accessed February, 2013.

2. The model is not enough: understanding energy consumption in mobile devices;Bornholt,2012

3. Clonecloud: elastic execution between mobile device and cloud;Chun,2011

4. CPUfreq Governors. 2013. https://access.redhat.com/site/documentation/en-US/Red_Hat_Enterprise_Linux/6/html/Power_Management_Guide/cpufreq_governors.html. Accessed June, 2013.

5. Maui: making smartphones last longer with code offload;Cuervo,2010

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