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Dynamic Software Deployment from Clouds to Mobile Devices

  • Conference paper
Middleware 2012 (Middleware 2012)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 7662))

Abstract

With the functionality of mobile applications ever increasing, designers are often confronted with either the resource limitations of the devices or of the network. As pointed out by recent work, application partitioning between mobile devices and clouds, can be used to solve some of these issues, improving performance and/or battery life. In this paper, we argue that the static decisions made in existing work cannot leverage the full potential of application partitioning. Thus, to allow for variations in the execution environment, we have developed a system that dynamically adapts the application partition decisions. The system works by continuously profiling an applications performance and dynamically updating its distributed deployment to accommodate changes in the network bandwidth, devices CPU utilization, and data loads. Using several real applications, we show that our approach provides performance gains as high as 75% over traditional approaches and achieves lower power consumption by a factor close to 45%.

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Author information

Authors and Affiliations

  1. Systems Group, Dept. of Computer Science, ETH Zurich, Switzerland

    Ioana Giurgiu & Gustavo Alonso

  2. Microsoft Research, Redmond, US

    Oriana Riva

Authors
  1. Ioana Giurgiu
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  2. Oriana Riva
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  3. Gustavo Alonso
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Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering Department, Carnegie Mellon University, 4720 Forbes Avenue, 15213, Pittsburgh, PA, USA

    Priya Narasimhan

  2. Department of Computer Engineering and Informatics, University of Patras, University Campus, 26504, Rio, Greece

    Peter Triantafillou

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© 2012 IFIP International Federation for Information Processing

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Giurgiu, I., Riva, O., Alonso, G. (2012). Dynamic Software Deployment from Clouds to Mobile Devices. In: Narasimhan, P., Triantafillou, P. (eds) Middleware 2012. Middleware 2012. Lecture Notes in Computer Science, vol 7662. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35170-9_20

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  • DOI: https://doi.org/10.1007/978-3-642-35170-9_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-35169-3

  • Online ISBN: 978-3-642-35170-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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