A transparent code offloading technique for Android devices

Oliveira, Rejane Pivetta de; Schirmer, Nicolas Meira da Silva; Machry, Mateus; Ferreto, Tiago

doi:10.1109/iwcmc.2017.7986435

Cited by 2 publications

(7 citation statements)

References 9 publications

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“…The face detection application is the same from De Oliveira et al (de Oliveira et al, 2017). This application uses the native Android framework method FaceDetection to detect faces of people in an image.…”

Section: Evaluation Scenariomentioning

confidence: 99%

“…2 Available at: <https://www.apple.com/ios/siri>. So, a transparent code offloading technique for Android devices was proposed (de Oliveira et al, 2017) to eliminate this limitation. This technique allows the use of code offloading and does not require any modification in the application code.…”

Section: Introductionmentioning

confidence: 99%

“…The main objective was to evaluate whether this technique was a feasible option in a cloud computing environment and how efficient it could be. So, we used the same face detection application from (de Oliveira et al, 2017) to conducted a set of experiments, but using virtual machine instances from a public cloud provider (Google Cloud Platform) instead of a local VM. A secondary objective was to provide an evaluation of the impact of Internet latency when this code offloading technique is adopted.…”

Section: Introductionmentioning

confidence: 99%

“…Unlike these related studies, De Oliveira et al (de Oliveira et al, 2017) proposed a transparent code offloading technique for Android devices. They used Xposed Framework to transparently modify Android framework methods and send tasks to be executed remotely on a server.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Improving the Trade-Off between Performance and Energy Saving in Mobile Devices through a Transparent Code Offloading Technique

Reis

Souza

Marques

et al. 2019

Proceedings of the 9th International Conference on Cloud Computing and Services Science

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The popularity of mobile devices has increased significantly, and nowadays they are used for the most diverse purposes like accessing the Internet or helping on business matters. Such popularity emerged as a consequence of the compatibility of these devices with a large variety of applications. However, the complexity of these applications boosted the demand for computational resources on mobile devices. Code Offloading is a solution that aims to mitigate this problem by reducing the use of resources and battery on mobile devices by sending parts of applications to be processed in the cloud. In this sense, this paper presents an evaluation of a transparent code offloading technique, where no modification in the application source code is required to allow the smartphone to send parts of the application to be processed in the cloud. We used a face detection application for the evaluation. Results showed the technique can improve applications performance in some scenarios, achieving speed-up of 12x in the best case.

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Section: Evaluation Scenariomentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improving the Trade-Off between Performance and Energy Saving in Mobile Devices through a Transparent Code Offloading Technique

Reis

Souza

Marques

et al. 2019

Proceedings of the 9th International Conference on Cloud Computing and Services Science

View full text Add to dashboard Cite

show abstract

“…In a few publications, the results are evaluated based on the actual application environment [2,16,20]. According to the results of the current studies, the developed solutions can be efficient in terms of energy consumption and performance, the Wi-Fi connection environment is generally more efficient than the GSM connection environment, and the cloud environment provides better performance than does the mobile environment [2,6,11,16,[22][23][24][25][26].…”

Section: Related Workmentioning

confidence: 99%

A New Context-Sensitive Decision Making System for Mobile Cloud Offloading

Tanriverdi¹,

Ali²

2018

IJCSIT

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Recently, with the rapid spread use of mobile devices, some problems have begun to emerge. The most important of these are that the mobile devices batteries' life may be short and that these devices may be in some cases. The complex tasks that must be addressed to solve such problems on mobile devices can be transferred to the cloud environment when appropriate conditions are met. The decision to offload to the cloud environment at this stage is very important. In this thesis, a context-aware decision-making system has been developed for offloading to cloud environments. Unlike similar tasks, the processes determined for transfer to the cloud are not run randomly, but rather according to the mobile user's application usage habits. The developed system was implemented in a real environment for one month. According to the results, it was determined that processes transferred to the cloud were completed in less time and consumed less energy.

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A transparent code offloading technique for Android devices

Cited by 2 publications

References 9 publications

Improving the Trade-Off between Performance and Energy Saving in Mobile Devices through a Transparent Code Offloading Technique

Improving the Trade-Off between Performance and Energy Saving in Mobile Devices through a Transparent Code Offloading Technique

A New Context-Sensitive Decision Making System for Mobile Cloud Offloading

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