A model for power efficiency of mobile devices through lightweight method level computational offloading

Mobile devices have become an integral part of our daily lives. However, the restricted battery timing curtails longer operational hours. To tackle the limited battery timing issue, a technique, computational offloading is used. In computational offloading, the intensive tasks are offloaded from mob...

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Main Author:	Ali, Mushtaq
Format:	Thesis
Language:	English
Published:	2018
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://umpir.ump.edu.my/id/eprint/23465/1/A%20model%20for%20power%20efficiency%20of%20mobile%20devices%20through%20lightweight%20method%20level%20computational%20offloading.wm.pdf
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spelling	my-ump-ir.234652023-01-26T04:34:43Z A model for power efficiency of mobile devices through lightweight method level computational offloading 2018-02 Ali, Mushtaq QA75 Electronic computers. Computer science TK Electrical engineering. Electronics Nuclear engineering Mobile devices have become an integral part of our daily lives. However, the restricted battery timing curtails longer operational hours. To tackle the limited battery timing issue, a technique, computational offloading is used. In computational offloading, the intensive tasks are offloaded from mobile devices to remote server in order to execute the task remotely and save battery life. Computational offloading frameworks/models based on VM migration, whole application migration, or traditional method level offloading are resources intensive and time consuming. The dynamic partitioning of application, execution of task at cloud server, service call by Simple Object Access Protocol (SOAP) and no defined mechanism for predefined parameters, make the previous method level computational frameworks/models inefficient for energy saving. In order to address the inefficiencies of previous method level computational offloading frameworks/models, a lightweight method level computational offloading model is proposed. Four distinct components are deployed in the proposed model which eliminates the shortcomings of previously developed frameworks/models. A Representational State Transfer (REST) based technique developed for calling the remote services which is based on JSON instead of XML, and hence is lightweight. REST also reduces the size of communication data at approximately 100% as compared to SAOP service call. Surrogate server is configured at a single hop distance which reduces the RTT and ultimately reduces the power consumption. The application is partitioned at method level by a novel dynamic technique in source code, which counters the inefficiencies of existing partitioning techniques. A mechanism for selection of predefined parameters is defined. These parameters are important to consider before each offload. The predefined parameters consist of battery level, network type, and execution time which affirms the energy saving during offloading. The proposed framework is implemented in the real mobile cloud computing environment. Execution time and energy consumption of both local execution and traditional offloading are benchmarked in order to investigate and validate the performance of the proposed lightweight method level model. The prototype is developed with three components which are REST-Offload, Local Execution and Traditional- Offload and then tested in real mobile cloud environment for Execution Time and Energy Consumption. The result of this research indicates that the proposed solution diminishes resources utilization. The REST-Offload is significantly useful compared to both Local Execution and Traditional Offloading methods. It reduces about 50% Execution Time and approximately 38% Energy Consumption. 2018-02 Thesis http://umpir.ump.edu.my/id/eprint/23465/ http://umpir.ump.edu.my/id/eprint/23465/1/A%20model%20for%20power%20efficiency%20of%20mobile%20devices%20through%20lightweight%20method%20level%20computational%20offloading.wm.pdf pdf en public phd doctoral Universiti Malaysia Pahang Faculty of Computer System & Software Engineering Mohamad Fadli, Zolkipli
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
collection	UMPSA Institutional Repository
language	English
advisor	Mohamad Fadli, Zolkipli
topic	QA75 Electronic computers Computer science QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science QA75 Electronic computers Computer science Ali, Mushtaq A model for power efficiency of mobile devices through lightweight method level computational offloading
description	Mobile devices have become an integral part of our daily lives. However, the restricted battery timing curtails longer operational hours. To tackle the limited battery timing issue, a technique, computational offloading is used. In computational offloading, the intensive tasks are offloaded from mobile devices to remote server in order to execute the task remotely and save battery life. Computational offloading frameworks/models based on VM migration, whole application migration, or traditional method level offloading are resources intensive and time consuming. The dynamic partitioning of application, execution of task at cloud server, service call by Simple Object Access Protocol (SOAP) and no defined mechanism for predefined parameters, make the previous method level computational frameworks/models inefficient for energy saving. In order to address the inefficiencies of previous method level computational offloading frameworks/models, a lightweight method level computational offloading model is proposed. Four distinct components are deployed in the proposed model which eliminates the shortcomings of previously developed frameworks/models. A Representational State Transfer (REST) based technique developed for calling the remote services which is based on JSON instead of XML, and hence is lightweight. REST also reduces the size of communication data at approximately 100% as compared to SAOP service call. Surrogate server is configured at a single hop distance which reduces the RTT and ultimately reduces the power consumption. The application is partitioned at method level by a novel dynamic technique in source code, which counters the inefficiencies of existing partitioning techniques. A mechanism for selection of predefined parameters is defined. These parameters are important to consider before each offload. The predefined parameters consist of battery level, network type, and execution time which affirms the energy saving during offloading. The proposed framework is implemented in the real mobile cloud computing environment. Execution time and energy consumption of both local execution and traditional offloading are benchmarked in order to investigate and validate the performance of the proposed lightweight method level model. The prototype is developed with three components which are REST-Offload, Local Execution and Traditional- Offload and then tested in real mobile cloud environment for Execution Time and Energy Consumption. The result of this research indicates that the proposed solution diminishes resources utilization. The REST-Offload is significantly useful compared to both Local Execution and Traditional Offloading methods. It reduces about 50% Execution Time and approximately 38% Energy Consumption.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Ali, Mushtaq
author_facet	Ali, Mushtaq
author_sort	Ali, Mushtaq
title	A model for power efficiency of mobile devices through lightweight method level computational offloading
title_short	A model for power efficiency of mobile devices through lightweight method level computational offloading
title_full	A model for power efficiency of mobile devices through lightweight method level computational offloading
title_fullStr	A model for power efficiency of mobile devices through lightweight method level computational offloading
title_full_unstemmed	A model for power efficiency of mobile devices through lightweight method level computational offloading
title_sort	model for power efficiency of mobile devices through lightweight method level computational offloading
granting_institution	Universiti Malaysia Pahang
granting_department	Faculty of Computer System & Software Engineering
publishDate	2018
url	http://umpir.ump.edu.my/id/eprint/23465/1/A%20model%20for%20power%20efficiency%20of%20mobile%20devices%20through%20lightweight%20method%20level%20computational%20offloading.wm.pdf
_version_	1783732068327358464

A model for power efficiency of mobile devices through lightweight method level computational offloading

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