PERFORMANCE IMPROVEMENT OF KSTAR NETWORKS FOR LONG DISTANCE COLLABORATIONS

KSTAR (Korea Superconducting Tokamak Advanced Research) has completed its 6 th campaign. Every year, it produces enormous amount of data that need to be forwarded to international collaborators shot by shot for run-time analysis. Analysis of one shot helps in deciding parameters for next shot. Many shots are conducted in a day, therefore, this communication need to be very efficient. Moreover, amount of KSTAR data and number of international collaborators are increasing every year. In presence of big data and various collaborators exists in all over the world, communicating at run-time will be a challenge. To meet this challenge, we need efficient ways of communications to transfer data. Therefore, in this paper, we will optimize paths among internal and external networks of KSTAR for efficient communication. We will also discuss transmission solutions for environment construction and evaluate performance for long distance collaborations.