AFMEACI: A Framework for Mobile Execution Augmentation Using Cloud Infrastructure

  • Karishma PawarEmail author
  • Vandana Jagtap
  • Mangesh Bedekar
  • Debajyoti Mukhopadhyay
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 28)


Due to advancement in mobile device technology, mobile devices are becoming an inevitable part of human lives. In context of running massive applications on mobile devices, users can’t utilize the potential of mobile devices in an efficient manner since mobile devices are constrained by processing power, memory requirements and battery capacity. To alleviate this resource scarcity problem of the mobile devices, mobile cloud computing is the most promising solution which combines the technologies from both the mobile computing and the cloud computing. The execution of heavy application on mobile devices is augmented by powerful and resource-abundant cloud servers. This is achieved by partitioning an application into tasks such that the computational intensive tasks are offloaded to cloud and after executing task on cloud, results are sent back to mobile device, referred to as computation offloading. In this paper, we have put forth a scalable, fault-tolerant framework for dynamically and optimally partition the application using our proposed genetic algorithm.


Augmented Execution Computation Offloading Mobile Cloud Computing Partitioning 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Karishma Pawar
    • 1
    Email author
  • Vandana Jagtap
    • 1
  • Mangesh Bedekar
    • 1
  • Debajyoti Mukhopadhyay
    • 2
  1. 1.Department of Computer EngineeringMaharashtra Institute of TechnologyPuneIndia
  2. 2.Department of Information TechnologyMaharashtra Institute of TechnologyPuneIndia

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