Fault-Tolerance Strategies for Handling Data-Streams on Edge-Networks: Application to Smart Buildings 7a.001.UL


Project Start Date: Aug 1, 2018
Research Areas: Data Management, Data Management - Big Data Platforms, Data Management - Dynamic Data
Funding: Member Funded
Project Tags: ,

Project Summary

The overall goal of the project is to develop partial Replication Strategies for Managing Data Stream Processing & Analytics on Edge Devices. Specifically, the team will –

  • Deploy a live smart building platform in collaboration with Tieto at UL Lafayette
  • Investigate the communication protocols, data collection, buffering and processing methods, and impact of failures to actual gateway devices
  • Investigate partial data-replication strategies for distributing data processing and analytics between the edge and the cloud
  • Experiment with partial-replication strategies for data streams. These methods will be studied in the context of smart buildings.