Application of the actor model to large scale NDE data analysis

Chris Coughlin

doi:10.1117/12.2293345

Abstract

The Actor model of concurrent computation discretizes a problem into a series of independent units or actors that interact only through the exchange of messages. Without direct coupling between individual components, an Actor-based system is inherently concurrent and fault-tolerant. These traits lend themselves to so-called “Big Data” applications in which the volume of data to analyze requires a distributed multi-system design. For a practical demonstration of the Actor computational model, a system was developed to assist with the automated analysis of Nondestructive Evaluation (NDE) datasets using the open source Myriad Data Reduction Framework. A machine learning model trained to detect damage in two-dimensional slices of C-Scan data was deployed in a streaming data processing pipeline. To demonstrate the flexibility of the Actor model, the pipeline was deployed on a local system and re-deployed as a distributed system without recompiling, reconfiguring, or restarting the running application.

Conference Presentation

Citation Download Citation

Chris Coughlin, Chris Coughlin, } "Application of the actor model to large scale NDE data analysis", Proc. SPIE 10602, Smart Structures and NDE for Industry 4.0, 1060205 (27 March 2018); doi: 10.1117/12.2293345; https://doi.org/10.1117/12.2293345

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