From mobiles to clouds: Developing energy-aware offloading strategies for workflows

Bo Gao*, Ligang He, Limin Liu, Kenli Li, Stephen A. Jarvis

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

30 Citations (Scopus)


Cloud computing and mobile computing are two of the most influential technologies that look set to change the face of computing in the coming years. Combination of the two provides us with an unprecedented opportunity to provide highly portable and yet content-rich and computation-intensive services to the end user. In this paper we investigate the possibility of using code/task offload techniques between mobile and cloud in order to reduce the energy cost of workflows deployed on mobile devices. We first present a vision in which mobile devices are coordinated over a network, which is equipped with a layer of cloud-like infrastructures which we term cloudlets, whose computational resources can be leveraged by the mobile devices to host the execution of mission-critical mobile workflows in an energy-aware manner. We then build a model that encompasses various characteristics of the workflow's software and the network's hardware devices. With this model, we construct the objective functions that guide the offload decisions. We then present a heuristic algorithm that produces statistical and dynamic offload plans according to these objective functions and their variations both statically and dynamically. We conclude the paper with a series of simulation studies, the results of which give insight into the offload-ability of workflows of different characteristics. The results also illustrate how different hardware specifications can affect offload efficiency. These studies indicate that our offload algorithm can significantly improve the energy efficiency and execution speed of mobile workflows.

Original languageEnglish
Title of host publicationProceedings - 13th ACM/IEEE International Conference on Grid Computing, Grid 2012
Number of pages8
Publication statusPublished - 2012
Event13th ACM/IEEE International Conference on Grid Computing, Grid 2012 - Beijing, China
Duration: 20 Sept 201223 Sept 2012

Publication series

NameProceedings - IEEE/ACM International Workshop on Grid Computing
ISSN (Print)1550-5510


Conference13th ACM/IEEE International Conference on Grid Computing, Grid 2012


  • Code offload
  • Energy
  • Mobile computing
  • Workflow

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications


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