English

Offloadable Apps using SmartDiet: Towards an analysis toolkit for mobile application developers

Distributed, Parallel, and Cluster Computing 2011-11-17 v1 Networking and Internet Architecture Software Engineering

Abstract

Offloading work to cloud is one of the proposed solutions for increasing the battery life of mobile devices. Most prior research has focused on computation-intensive applications, even though such applications are not the most popular ones. In this paper, we first study the feasibility of method-level offloading in network-intensive applications, using an open source Twitter client as an example. Our key observation is that implementing offloading transparently to the developer is difficult: various constraints heavily limit the offloading possibilities, and estimation of the potential benefit is challenging. We then propose a toolkit, SmartDiet, to assist mobile application developers in creating code which is suitable for energy-efficient offloading. SmartDiet provides fine-grained offloading constraint identification and energy usage analysis for Android applications. In addition to outlining the overall functionality of the toolkit, we study some of its key mechanisms and identify the remaining challenges.

Keywords

Cite

@article{arxiv.1111.3806,
  title  = {Offloadable Apps using SmartDiet: Towards an analysis toolkit for mobile application developers},
  author = {Aki Saarinen and Matti Siekkinen and Yu Xiao and Jukka K. Nurminen and Matti Kemppainen and Pan Hui},
  journal= {arXiv preprint arXiv:1111.3806},
  year   = {2011}
}

Comments

7 pages, 2 figures, 2 tables

R2 v1 2026-06-21T19:36:56.975Z