Online Cloud-Based Battery Lifetime Estimation Framework for Smartphone Devices

被引：3

作者：

Ahmad, Raja Wasim ^{[1
]}

Bashir, Raja Sehrab ^{[2
]}

Saeed, Sharjil ^{[3
]}

Lee, Yangsun ^{[4
]}

Ko, Kwangman ^{[5
]}

Son, Yunsik ^{[6
]}

机构：

[1] COMSATS Inst Informat Technol, Islamabad, Pakistan

[2] Univ Malaya, Dept Software Engn, Kuala Lumpur, Malaysia

[3] Univ AJK, Dept Comp Sci & IT, Muzaffarabad, Pakistan

[4] Sekyungongguk Univ, Dept Comp Engn, Seoul, South Korea

[5] Sanji Univ, Dept Comp Engn, Wonju, South Korea

[6] Dongguk Univ, Dept Comp Engn, Seoul, South Korea

来源：

14TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2017) / 12TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC 2017) / AFFILIATED WORKSHOPS | 2017年 / 110卷

基金：

新加坡国家研究基金会;

关键词：

Mobile Computing; Cloud Computing; Computation Offloading; Battery Lifetime Estimation; Energy Optimization;

D O I：

10.1016/j.procs.2017.06.118

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

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. (c) 2017 The Authors. Published by Elsevier B.V.

引用

页码：70 / 77

页数：8

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