Data Repair for Distributed, Event-based IoT Applications

Abstract

Motivated by the growth of Internet of Things (IoT) technologies and the volumes and velocity of data that they can and will produce, we investigate automated data repair for event-driven, IoT applications. IoT devices are heterogeneous in their hardware architectures, software, size, cost, capacity, network capabilities, power requirements, etc. They must execute in a wide range of operating environments where failures and degradations of service due to hardware malfunction, software bugs, network partitions, etc. cannot be immediately remediated. Further, many of these failure modes cause corruption in the data that these devices produce and in the computations "downstream" that depend on this data.