Paper Info
Title
Online Cloud-Based Battery Lifetime Estimation Framework for Smartphone Devices.
Abstract
Smartphones are resource constrained external battery operated devices. The resources of smartphone devices such as a battery, CPU, and RAM are very low compared to the desktop server. However, the requirements of smartphone users are growing tremendously. As a result, smartphone applications perform rich functionality to enrich user experience. However, due to increase in the execution capacity of smartphone applications, smartphone battery lifetime minimizes. This study proposes a cloud-based framework that estimates battery lifetime of a smartphone device. Moreover, it overviews the theoretical design of computational offloading framework to present an application area for the proposed work. Finally, it presents preliminary results to evaluate the proposed framework.
Year
DOI
Venue
2017
10.1016/j.procs.2017.06.118
Procedia Computer Science
Keywords
Field
DocType
Mobile Computing,Cloud Computing,Computation Offloading,Battery Lifetime Estimation,Energy Optimization
Mobile computing,User experience design,Computer science,Computation offloading,Battery (electricity),Cloud computing,Embedded system
Conference
Volume
ISSN
Citations 
110
1877-0509
1
PageRank 
References 
Authors
0.40
14
6
Name
Order
Citations
PageRank
Raja Wasim Ahmad117810.30
Raja Sehrab Bashir210.73
Sharjil Saeed321.77
Yangsun Lee47019.48
Kwangman Ko510.40
YunSik Son6126.68