27 March 2018 Application of the actor model to large scale NDE data analysis
Author Affiliations +
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
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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
PROCEEDINGS
14 PAGES + PRESENTATION

SHARE
RELATED CONTENT

Data mining in the real world
Proceedings of SPIE (February 25 1999)
Visual target-object search using Gabor transform
Proceedings of SPIE (August 26 1999)
Imperfect learning for autonomous concept modeling
Proceedings of SPIE (January 17 2005)

Back to Top