Visible to the public Container Cluster Model Development for Legacy Applications Integration in Scientific Software System

TitleContainer Cluster Model Development for Legacy Applications Integration in Scientific Software System
Publication TypeConference Paper
Year of Publication2018
AuthorsTrunov, Artem S., Voronova, Lilia I., Voronov, Vyacheslav I., Ayrapetov, Dmitriy P.
Conference Name2018 IEEE International Conference "Quality Management, Transport and Information Security, Information Technologies" (IT QM IS)
KeywordsBig Data, business data processing, cluster, compositionality, Computational modeling, Computer architecture, computer experiments results, computer simulation systems, computer software, computing applications, container, container cluster model development, containerization systems, Containers, database, Databases, distributed computer simulation, high-efficiency computing, high-performance computing, intellectual processing, legacy applications integration, Load modeling, mathematical analysis, MD - SLAG – MELT, MD-SLAG-MELT system, modern scientific information systems, molecular dynamic Modeling, nonstandardized interfaces, pattern clustering, Predictive Metrics, programming languages, pubcrawl, Resiliency, Scientific Computing Security, scientific information systems, scientific software system, Servers, software maintenance, Software systems, system MD-SLAG-MELT, ubiquitous computing, visualization
AbstractFeature of modern scientific information systems is their integration with computing applications, providing distributed computer simulation and intellectual processing of Big Data using high-efficiency computing. Often these software systems include legacy applications in different programming languages, with non-standardized interfaces. To solve the problem of applications integration, containerization systems are using that allow to configure environment in the shortest time to deploy software system. However, there are no such systems for computer simulation systems with large number of nodes. The article considers the actual task of combining containers into a cluster, integrating legacy applications to manage the distributed software system MD-SLAG-MELT v.14, which supports high-performance computing and visualization of the computer experiments results. Testing results of the container cluster including automatic load sharing module for MD-SLAG-MELT system v.14. are given.
Citation Keytrunov_container_2018