Towards the Fog Computing PaaS Solution

N. Vetoshkin, G. Radchenko

    Research output: Contribution to conference (No Proceedings)Paperpeer-review


    Nowadays, the cloud computing approach is used to solve a wide variety of tasks. It provides access to virtually infinite amount of computing resources. However, a number of issues arise when it is necessary to provide computational services requiring low latency. The growing demand for services with low latency motivates to place computing resources at the edge of the network. This study suggests the architecture of a PaaS platform providing computational resources based on the concept of fog computing which is intended to solve this problem. This platform should control, conFigure and provide fog computing resources in automatic mode. During the process of computer system design, the main tasks were detected and tools for their solution were found. The most important tasks are the following: the communication pattern of the internal services, container orchestration and user data storage. The system deployment will be based on heterogeneous computing resources including the resources of SUSU supercomputer center. © 2020 IEEE.
    Original languageEnglish
    Number of pages4
    Publication statusPublished - 2020
    Event2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology - Yekaterinburg, Russian Federation
    Duration: 14 May 202015 May 2020


    Conference2020 Ural Symposium on Biomedical Engineering, Radioelectronics and Information Technology
    Abbreviated titleUSBEREIT 2020
    Country/TerritoryRussian Federation


    • computing system
    • containerization
    • fog computing
    • microservices
    • Biomedical engineering
    • Computer architecture
    • Digital storage
    • Fog
    • Platform as a Service (PaaS)
    • Storage as a service (STaaS)
    • Supercomputers
    • Automatic mode
    • Communication pattern
    • Computational resources
    • Computing resource
    • Growing demand
    • Heterogeneous computing
    • Internal services
    • System deployment
    • Fog computing


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