SC19 Proceedings

The International Conference for High Performance Computing, Networking, Storage, and Analysis

Poster 20: From IoT to Cloud: Research Platform for IoT/Cloud Experiments

Student: Jinfeng Lin (University of Notre Dame)
Supervisor: Kate Keahey (Argonne National Laboratory)

Abstract: IoT studies leverage a wide range of lightweight hardware for collecting and processing data in the field. Limited by the resources on the devices, IoT systems have to interoperate with cloud platforms for addressing computation intensive tasks such as image processing, application backend supporting and centralized data storage. Therefore, a testbed for IoT/Cloud experiments should provide infrastructure for IoT to cloud communication, computation deployment, and hardware resource management. With these functionalities, users can focus on research problems without distraction from manually constructing experiment environments. Though cloud providers such as Google, Amazon, and Microsoft all provide IoT to Cloud solutions in general, this commercial model is not entirely compatible with research purpose. We propose a framework named Chameleon IoT testbed (CHIoT) that extends the Chameleon bare-metal cloud resources to support general IoT to Cloud experiments

ACM-SRC Semi-Finalist: yes

Poster: PDF
Poster Summary: PDF

Back to Poster Archive Listing