The Joint Accelerator Conferences Website (JACoW) is an international collaboration that publishes the proceedings of accelerator conferences held around the world.
TY - CONF AU - Kwon, G.I. AU - Hong, J.S. AU - Lee, T.G. AU - Lee, W.R. AU - Park, J.S. AU - Tak, T.H. ED - Schaa, Volker RW ED - Costa, Isidre ED - Fernández, David ED - Matilla, Ãscar TI - Development of Real-Time Data Publish and Subscribe System Based on Fast RTPS for Image Data Transmission J2 - Proc. of ICALEPCS2017, Barcelona, Spain, 8-13 October 2017 C1 - Barcelona, Spain T2 - International Conference on Accelerator and Large Experimental Control Systems T3 - 16 LA - english AB - In fusion experiment, real-time network is essential to control plasma real-time network used to transfer the diagnostic data from diagnostic device and command data from PCS(Plasma Control System). Among the data, transmitting image data from diagnostic system to other system in real-time is difficult than other type of data. Because, image has larger data size than other type of data. To transmit the images, it need to have high throughput and best-effort property. And To transmit the data in real-time manner, the network need to has low-latency. RTPS(Real Time Publish Subscribe) is reliable and has Quality of Service properties to enable best effort protocol. In this paper, eProsima Fast RTPS was used to implement RTPS based real-time network. Fast RTPS has low latency, high throughput and enable to best-effort and reliable publish and subscribe communication for real-time application via standard Ethernet network. This paper evaluates Fast RTPS about suitability to real-time image data transmission system. To evaluate performance of Fast RTPS base system, Publisher system publish image data and multi subscriber system subscribe image data. PB - JACoW CP - Geneva, Switzerland SP - 473 EP - 477 KW - ion KW - real-time KW - network KW - diagnostics KW - experiment DA - 2018/01 PY - 2018 SN - 978-3-95450-193-9 DO - 10.18429/JACoW-ICALEPCS2017-TUPHA040 UR - http://jacow.org/icalepcs2017/papers/tupha040.pdf ER -