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      ERAIA - Enabling Intelligence Data Pipelines for IoT-based Application Systems

      Based on the connectivity layer provided by Internet of Things (IoT) platforms, modern industries are moving towards management and computation solutions that enable Artificial Intelligence (AI) services for data intensive applications. Challenges of such Industrial IoT applications include orchestration of data and computational resources and refinement and preparation of data for intelligence extraction.

      This paper introduces ERAIA, an actor-based framework that provides a novel basis for building intelligence and data pipelines. ERAIA facilitates the deployment and migration of distributed AI computations for heterogeneous and dynamic IoT scenarios. An implementation description is accompanied by relevant performance evaluations to demonstrate the flexibility and scalability of the solution. ERAIA provides an interface to expand the scope of existing IoT systems as Application Enablement Platform, which accelerates the development of AI-based IoT solutions.

      Full abstract in IEEE Xplore, DOI: 10.1109/PerCom45495.2020.9127385

      Authors

      Aitor Hernandez, Bin Xiao, Valentin Tudor.

      Published in 2020 IEEE International Conference on Pervasive Computing and Communications (PerCom), Austin, Texas, USA, March 23-27, 2020.

      ©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse.

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      ERAIA - Enabling Intelligence Data Pipelines for IoT-based Application Systems

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