TY - GEN

T1 - The conceptual model of the hybrid geographic information system based on kubernetes containers and cloud computing

AU - Gazul, Stanislav

AU - Kiyaev, Vladimir

AU - Anantchenko, Igor

AU - Shepeleva, Lecturer Olga

AU - Lobanov, Oleg

N1 - Conference code: 20

PY - 2020

Y1 - 2020

N2 - We offer the conceptual model of the hybrid geographic information system built by using Kubernetes, Docker containers and cloud computing. Within the study, we conducted stress tests and velocity measurements in virtual environments. Applications deployed in containers show better performance when one needs to simultaneously run the same type of isolated compute nodes. The experimental results clearly demonstrate the advantage of using Kubernetes with Docker containers to build such systems, especially in case of stateless applications. However, since we are talking about stateful applications, it is necessary to solve the data storage problem in order to ensure the system's stable operation. Today there exist several standard approaches for solving this problem. All of them are presented in the article. The article contains our practice-based recommendations on using these approaches in various situations. The article summarizes the theoretical and practical experience gained by testing this technological stack when implementing various web services, from personal sites to corporate portals. As a result of analyzing such approaches, we propose the conceptual GIS hybrid model based on the Kubernetes computing cluster with Docker containers for data processing, whereas external cloud storage is used to store data and backups. In our opinion, the described conceptual model of IT infrastructure can be used to build any web services requiring scalability, system fault tolerance and security.

AB - We offer the conceptual model of the hybrid geographic information system built by using Kubernetes, Docker containers and cloud computing. Within the study, we conducted stress tests and velocity measurements in virtual environments. Applications deployed in containers show better performance when one needs to simultaneously run the same type of isolated compute nodes. The experimental results clearly demonstrate the advantage of using Kubernetes with Docker containers to build such systems, especially in case of stateless applications. However, since we are talking about stateful applications, it is necessary to solve the data storage problem in order to ensure the system's stable operation. Today there exist several standard approaches for solving this problem. All of them are presented in the article. The article contains our practice-based recommendations on using these approaches in various situations. The article summarizes the theoretical and practical experience gained by testing this technological stack when implementing various web services, from personal sites to corporate portals. As a result of analyzing such approaches, we propose the conceptual GIS hybrid model based on the Kubernetes computing cluster with Docker containers for data processing, whereas external cloud storage is used to store data and backups. In our opinion, the described conceptual model of IT infrastructure can be used to build any web services requiring scalability, system fault tolerance and security.

KW - Cloud computing

KW - Containers

KW - GIS

KW - Kubernetes

KW - Mashup

UR - http://www.scopus.com/inward/record.url?scp=85099731080&partnerID=8YFLogxK

U2 - 10.5593/sgem2020/2.1/s07.046

DO - 10.5593/sgem2020/2.1/s07.046

M3 - Conference contribution

AN - SCOPUS:85099731080

T3 - International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

SP - 357

EP - 363

BT - Geodesy and Mine Surveying; Photogrammetry and Remote Sensing; Cartography and Gis

PB - International Multidisciplinary Scientific Geoconference

T2 - 20th International Multidisciplinary Scientific Geoconference

Y2 - 18 August 2020 through 24 August 2020

ER -