Microdatabases for the Industrial Internet
K. Eric Harper, Thijmen de Gooijer, Johannes O. Schmitt, David Cox

TL;DR
This paper introduces microdatabases, a novel data management abstraction for the Industrial Internet that enables secure, localized data handling across diverse vendors and legacy systems, improving performance and integration.
Contribution
It proposes microdatabases as a new abstraction to manage heterogeneous industrial data efficiently, securely, and close to the source, addressing key challenges in the Industrial Internet.
Findings
Microdatabases enable secure, localized data access near industrial processes.
They facilitate integration across multiple vendors and legacy systems.
The abstraction supports lifecycle management and independent technology choices.
Abstract
The Industrial Internet market is targeted to grow by trillions of US dollars by the year 2030, driven by adoption, deployment and integration of billions of intelligent devices and their associated data. This digital expansion faces a number of significant challenges, including reliable data management, security and privacy. Realizing the benefits from this evolution is made more difficult because a typical industrial plant includes multiple vendors and legacy technology stacks. Aggregating all the raw data to a single data center before performing analysis increases response times, raising performance concerns in traditional markets and requiring a compromise between data duplication and data access performance. Similar to the way microservices can integrate disparate information technologies without imposing monolithic cross-cutting architecture impacts, we propose microdatabases to…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Cloud Computing and Resource Management · Advanced Data Storage Technologies
