research-article

Extending mobile device's battery life by offloading computation to cloud

Authors:

Hao Qian,

Daniel AndresenAuthors Info & Claims

MOBILESoft '15: Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems

Pages 150 - 151

Published: 16 May 2015 Publication History

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Abstract

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to resourceful servers is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be executed. This paper presents Jade, a system that adds sophisticated energy-aware computation offloading capabilities to Android applications. Jade monitors device and application status and automatically decides where code should be executed. Jade dynamically adjusts offloading strategy by adapting to workload variation, communication costs, and device status.

References

[1]

H. Qian and D. Andresen. Jade: An Efficient Energy-aware Computation Offloading System with Heterogeneous Network Interface Bonding for Ad-hoc Networked Mobile Devices. In Proceedings of the 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2014.

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[2]

E. Cuervo, A. Balasubramanian, D. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl. MAUI: Making smartphones last longer with code offload. In MobiSys, 2010.

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[3]

B. Chun, S. Ihm, P. Maniatis, M. Naik, A. Patti. CloneCloud: Elastic Execution between Mobile Device and Cloud. In ACM EuroSys, 2011.

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Cited By

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Berrocal JGarcia-Alonso JCanal CMurillo J(2018)Towards Multi-Device Context Aware Systems for Elders Well-beingProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3267706(750-753)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3267706
Cruz BTilevich EJulien CLewis GSegall I(2018)Intent to shareProceedings of the 5th International Conference on Mobile Software Engineering and Systems10.1145/3197231.3197245(94-104)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3197231.3197245
Berrocal JGarcia-Alonso JCanal CMurillo J(2016)Liquid ContextICWE 2016 International Workshops on Current Trends in Web Engineering - Volume 988110.1007/978-3-319-46963-8_11(128-141)Online publication date: 6-Jun-2016
https://dl.acm.org/doi/10.1007/978-3-319-46963-8_11

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Extending mobile device's battery life by offloading computation to cloud

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Information

Published In

MOBILESoft '15: Proceedings of the Second ACM International Conference on Mobile Software Engineering and Systems

May 2015

194 pages

ISBN:9781479919345

General Chair:
Aharon Abadi
IBM Haifa Research Lab, Israel
,
Program Chairs:
Danny Dig
Oregon State University
,
Yael Dubinsky
IBM Haifa Research Lab, Israel

Publisher

IEEE Press

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Published: 16 May 2015

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MOBILESoft '15

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MOBILESoft '15: 2nd ACM International Conference on Mobile Software Engineering and Systems

May 16 - 17, 2015

Florence, Italy

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April 26 - May 3, 2025

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Berrocal JGarcia-Alonso JCanal CMurillo J(2018)Towards Multi-Device Context Aware Systems for Elders Well-beingProceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers10.1145/3267305.3267706(750-753)Online publication date: 8-Oct-2018
https://dl.acm.org/doi/10.1145/3267305.3267706
Cruz BTilevich EJulien CLewis GSegall I(2018)Intent to shareProceedings of the 5th International Conference on Mobile Software Engineering and Systems10.1145/3197231.3197245(94-104)Online publication date: 27-May-2018
https://dl.acm.org/doi/10.1145/3197231.3197245
Berrocal JGarcia-Alonso JCanal CMurillo J(2016)Liquid ContextICWE 2016 International Workshops on Current Trends in Web Engineering - Volume 988110.1007/978-3-319-46963-8_11(128-141)Online publication date: 6-Jun-2016
https://dl.acm.org/doi/10.1007/978-3-319-46963-8_11

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Adaptive code offloading for mobile cloud applications: exploiting fuzzy sets and evidence-based learning

A Heuristic Algorithm for Multi-site Computation Offloading in Mobile Cloud Computing

Adaptive Computation Offloading from Mobile Devices into the Cloud