Mobile cloud computing on Android phone

With the prevalence of wireless network and smartphone becoming more and more sophisticated. As a result, developers are writing complex application that needs huge amounts of computation power and energy. In this project we will focus on the performance of offload on android phone. For an ex...

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Bibliographic Details
Main Author: Toh, Han Keong.
Other Authors: School of Computer Engineering
Format: Final Year Project (FYP)
Language:English
Published: 2012
Subjects:
Online Access:http://hdl.handle.net/10356/48457
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author Toh, Han Keong.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Toh, Han Keong.
author_sort Toh, Han Keong.
collection NTU
description With the prevalence of wireless network and smartphone becoming more and more sophisticated. As a result, developers are writing complex application that needs huge amounts of computation power and energy. In this project we will focus on the performance of offload on android phone. For an exhaustive analysis, 3 different type of android application with offloading was created evaluate using 3 performance matrix namely bandwidth, energy consumption, and time to execute. First, we show that offloading a simple task would actually incur more energy. Secondly, we show that offloading greatly reduce energy consumption when we offload component such as searching.
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spelling ntu-10356/484572023-03-03T20:40:46Z Mobile cloud computing on Android phone Toh, Han Keong. School of Computer Engineering Dusit Niyato DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems With the prevalence of wireless network and smartphone becoming more and more sophisticated. As a result, developers are writing complex application that needs huge amounts of computation power and energy. In this project we will focus on the performance of offload on android phone. For an exhaustive analysis, 3 different type of android application with offloading was created evaluate using 3 performance matrix namely bandwidth, energy consumption, and time to execute. First, we show that offloading a simple task would actually incur more energy. Secondly, we show that offloading greatly reduce energy consumption when we offload component such as searching. Bachelor of Engineering (Computer Science) 2012-04-24T04:07:26Z 2012-04-24T04:07:26Z 2012 2012 Final Year Project (FYP) http://hdl.handle.net/10356/48457 en Nanyang Technological University 53 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
Toh, Han Keong.
Mobile cloud computing on Android phone
title Mobile cloud computing on Android phone
title_full Mobile cloud computing on Android phone
title_fullStr Mobile cloud computing on Android phone
title_full_unstemmed Mobile cloud computing on Android phone
title_short Mobile cloud computing on Android phone
title_sort mobile cloud computing on android phone
topic DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
url http://hdl.handle.net/10356/48457
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