Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing

Xia, Feng; Ding, Fangwei; Li, Jie; Kong, Xiangjie; Yang, Laurence T.; Ma, Jun

doi:10.1007/s10796-013-9458-1

Cited by 122 publications

(55 citation statements)

References 34 publications

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“…In the offline mode, the application was executed on mobile and in online mode the intensive components of the application were sent to the cloud. Xia et al [3] tried to improve the applications' execution time on smart phone and save energy for smart phones by offloading the computation of application from mobile phone to cloud. The framework is a semiautomatic offloading system since the application is manually modified to run on cloud and an offloading proxy is used to send and receive information from cloud.…”

Section: Related Workmentioning

confidence: 99%

An Experimental Analysis on Performance and Energy Saving in Mobile Cloud Computing

Sindhu¹,

Guruprasad²

2017

IJITCS

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Abstract-MobileCloud Computing is a combination of mobile, cloud and wireless network where data storage and processing happens outside the mobile device. The storage capacity, processing power and battery life can be improved by moving resource intensive applications onto the cloud. In this paper, the performance of the mobile device is measured by using four different sorting techniques. Two different strategies were used for execution. In the first strategy, the input, execution and the output happens on the mobile device. In the other strategy, the input and output happens on the mobile device while the execution of the sorting techniques is offloaded to the server. The parameters considered for measurement are the execution time and mobile device's energy consumption. The results show that offloading the task to the server reduces the execution time and energy consumption on the mobile device.

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Section: Related Workmentioning

confidence: 99%

An Experimental Analysis on Performance and Energy Saving in Mobile Cloud Computing

Sindhu¹,

Guruprasad²

2017

IJITCS

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“…With prosperity of applications on smart-phones, energy saving for smart phones has drawn in-creasing attention. The paper by Xia et al (2014) entitled "Phone2Cloud: Exploiting Computation Offloading for Energy Saving on Smartphones in Mobile Cloud Computing" introduces Phone2Cloud, a computation offloading-based system for energy saving on smart phones in the context of mobile cloud computing. The main idea of Phone2Cloud is to offload computation of an application running on smart phones to the cloud.…”

Section: Mobile Cloud and Servicesmentioning

confidence: 99%

Dynamic intelligence towards merging cloud and communication services

Hsu

Obaidat

2014

Inf Syst Front

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“…Kiran can be improved by compressing data before offloading to the Cloud in low bandwidth networks. Phone2Cloud [21] use a naive history based method to predict average execution time of an application on smartphone. It monitor network bandwidth and leverages average CPU workload got from the resource monitor and input size of the application to predict execution time using the history log.…”

Section: B Related Workmentioning

confidence: 99%

An Enhanced Version of the MCACC to Augment the Computing Capabilities of Mobile Devices Using Cloud Computing

Elgendy¹,

Shaikh²,

Moussa³

2014

SpecialIssue

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Abstract-Recently as smartphones have a wide range of capabilities a lot of heavy applications like gaming, video editing, and face recognition are now available. However, this kind of applications need intensive computational power, memory, and battery. A lot of researches solve this problem by offloading applications to run on the Cloud due to its intensive storage and computation resources. Later, some techniques chooses to offload part of the applications while leaving the rest to be processed on the smartphone based on one or two metrics like power and CPU consumption only without any consideration to other important metrics. Our previously proposed MCACC framework has introduced a new generation of offloading frameworks that handle this problem by smartly emerging a group of real-time metrics like total execution time, energy consumption, remaining battery, memory, and security into the offloading decision. In this paper, we introduce an enhanced version of the MCACC framework that can now smartly operate under low bandwidth network scenario in addition to its existing capabilities. In this framework, any mobile application is divided into a group of services, and then each of them is either executed locally on the mobile or remotely on the Cloud through a dynamic offloading decision model. The extensive simulation studies show that both heavy and light applications can benefit from the proposed framework while saving energy and improving performance compare to previous counterparts. The enhanced MCACC turns the smartphones to be smarter as the offloading decision is taken without any user interference.

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Phone2Cloud: Exploiting computation offloading for energy saving on smartphones in mobile cloud computing

Cited by 122 publications

References 34 publications

An Experimental Analysis on Performance and Energy Saving in Mobile Cloud Computing

An Experimental Analysis on Performance and Energy Saving in Mobile Cloud Computing

Dynamic intelligence towards merging cloud and communication services

An Enhanced Version of the MCACC to Augment the Computing Capabilities of Mobile Devices Using Cloud Computing

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