@inproceedings{80,
  author = {Labhesh Deshpande and Kaikai Liu},
  title = {Edge computing embedded platform with container migration},
  abstract = {In a world where the number of smart cities is growing exponentially, there is a myriad of IoT devices which are generating immense data, 24×7. Centralized cloud data centers responsible for handling this huge data are being rapidly replaced with distributed edge nodes which move the computation closer to the users to provide low latencies for real-time applications. The proposed enhancements capitalizes on this design and proposes an effective way to achieve fault tolerance in the system. The concept of docker container migration is used to provide a near-zero downtime system on a distributed edge cloud architecture. An intuitively simple and visually attractive dashboard design is also being presented in this paper to remotely access the edge cloud management services.},
  year = {2017},
  journal = {2017 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computed, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)},
  month = {08},
  url = {https://par.nsf.gov/biblio/10092491},
  doi = {10.1109/UIC-ATC.2017.8397578},
}