A Reference Architecture for Mobile Code Offload in Hostile Environments

  • Soumya Simanta
  • Kiryong Ha
  • Grace Lewis
  • Ed Morris
  • Mahadev Satyanarayanan
Conference paper

DOI: 10.1007/978-3-642-36632-1_16

Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 110)
Cite this paper as:
Simanta S., Ha K., Lewis G., Morris E., Satyanarayanan M. (2013) A Reference Architecture for Mobile Code Offload in Hostile Environments. In: Uhler D., Mehta K., Wong J.L. (eds) Mobile Computing, Applications, and Services. MobiCASE 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 110. Springer, Berlin, Heidelberg

Abstract

Handheld mobile technology is reaching first responders and soldiers in the field to aid in various tasks such as speech and image recognition, natural language processing, decision making, and mission planning. However, these applications are computation-intensive and we must consider that 1) mobile devices offer less computational power than a conventional desktop or server computer, 2) computation-intensive tasks take a heavy toll on battery power, and 3) networks in hostile environments such as those experienced by first responders and soldiers in the field are often unreliable and bandwidth is limited and inconsistent. While there has been considerable research in code offload to the cloud to enhance computation and battery life, most of this work assumes reliable connectivity between the mobile device and the cloud—an invalid assumption in hostile environments. This paper presents a reference architecture for mobile devices that exploits cloudlets—VM-based code offload elements that are in single-hop proximity to the mobile devices that they serve. Two implementations of this reference architecture are presented, along with an analysis of architecture tradeoffs.

Keywords

reference architecture mobile architecture mobile systems code offload virtual machines cloud computing 

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Copyright information

© ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering 2013

Authors and Affiliations

  • Soumya Simanta
    • 1
  • Kiryong Ha
    • 2
  • Grace Lewis
    • 1
  • Ed Morris
    • 1
  • Mahadev Satyanarayanan
    • 2
  1. 1.Software Engineering InstituteCarnegie Mellon UniversityPittsburghUSA
  2. 2.School of Computer ScienceCarnegie Mellon UniversityPittsburghUSA

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