Experiences and lessons learned regarding scaling a computational offloading deployment in the cloud. The main contribution of this project is the extra front-end component that distributes the code offloading requests among the active servers.

This tool is built for conducting experiments to validate our research solutions. If you are using the tool for your research, please do not forget to cite. Thanks!

• H.Flores, X. Su, V. Kostakos, A. Yi Ding, P. Nurmi, S. Tarkoma, P. Hui, Y. Li: Large-scale Offloading in the Internet of Things, In Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom 2017): PerIoT Workshop, Kona, Big Island, Hawaii, USA, March 13-27, 2017

BibTex

@article{flores2017largescale,
  title={Large-scale Offloading in the Internet of Things},
  author={Flores, Huber and Su, Xiang and Kostakos, Vassilis and Yi Ding, Aaron and Nurmi, Petteri, and Tarkoma, Sasu and Hui, Pan and Li, Yong},
  journal={IEEE PerCom Workshops},
  year={2017},
  publisher={IEEE}
}

Send your questions to 📧 huber DOT flores AT helsinki DOT fi