Big Data Approach to Fluid Dynamics Visualization Problem

Autor: Ekaterina Guseva, Alexey Kuzin, Alexey Zhuravlev, Nikolay Shabrov, Vyacheslav Reshetnikov, Egor Golubchikov, Vladislav Kiev, Andrey Pyatlin
Rok vydání: 2019
Předmět:
Zdroj: Lecture Notes in Computer Science ISBN: 9783030227494
ICCS (5)
Popis: Present work is dedicated to development of the software for interactive visualization of results of simulation of gas dynamics problems on meshes of extra large sizes. Kitware ParaView visualization tool, which is popular among engineers and scientists is used as a frontend. The coupling of client and server instances of ParaView is used in the project. The crucial feature of the work is an application of Apache Hadoop and Apache Spark for distributed retrieving of simulation data from files on hard disk. The data is stored on the cluster in Hadoop Distributed File System (HDFS) managed by Apache Hadoop and is provided to ParaView server by Apache Spark data processing tool.
Databáze: OpenAIRE