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Energy Efficient Information Monitoring Applications on Smartphones through Communication Offloading

  • Conference paper
Mobile Computing, Applications, and Services (MobiCASE 2011)

Abstract

People increasingly use a wide variety of applications on their smartphones, thereby putting an ever higher burden on their phone’s battery. Unfortunately, battery capacity does not keep up with the energy demand of these applications. Various solutions have been proposed to get as much work as possible done with the scarcely available energy, among which offloading heavy weight computation to cloud resources.

In addition to offloading computation to cloud resources for computation intensive applications, we propose to also offload communication to cloud resources for communication intensive applications. In this paper we show that applications that monitor information on the Internet can offload the majority of their communication to cloud resources, thereby saving a significant amount of energy.

Along with discussing the principle of communication offloading, we detail the design and implementation of our communication offloading component that is part of the Cuckoo Offloading Framework. We evaluate this framework with an application monitoring a subsection of any given website based on image comparison and that communication offloading saves energy on the mobile device.

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Kemp, R., Palmer, N., Kielmann, T., Bal, H. (2012). Energy Efficient Information Monitoring Applications on Smartphones through Communication Offloading. In: Zhang, J.Y., Wilkiewicz, J., Nahapetian, A. (eds) Mobile Computing, Applications, and Services. MobiCASE 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 95. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32320-1_5

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  • DOI: https://doi.org/10.1007/978-3-642-32320-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32319-5

  • Online ISBN: 978-3-642-32320-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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