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Automatic deployment system of computer program application based on cloud computing

Author

Listed:
  • Hui Zhai

    (Henan Polytechnic)

  • Jia Wang

    (Henan University of Animal Husbandry and Economy)

Abstract

Cloud computing hides the huge possibility of development. It has developed rapidly in recent years. With the development of domestic cloud computing technology, cloud computing technology has become a technology of widespread concern. This research mainly discusses the design of an automated deployment system for computer program applications based on cloud computing. In order to meet the potential load conditions, computer servers usually reserve enough resources for the maximum load, which will greatly reduce resource utilization. At the same time, the server load will be monitored in real time. According to a specific capacity expansion strategy, the capacity expansion operation will be triggered in time to increase or decrease the number of back-end virtual servers to ensure the service quality of the application and increase the resource utilization rate of the server. The allocation strategy of the deployment system adopts a configurable and customizable method, which greatly improves the flexibility of the system. With the goal of expanding component-based computer program applications, format the deployment problem of component-based computer program applications, optimize deployment efficiency based on dynamic scaling algorithms, and design simulation experiments to verify the feasibility of the algorithm. Compared with previous data centers, the success rate of cloud data centers has exceeded 87%. The research results show that the deployment system can meet the specific application requirements of users, and can be properly installed and deployed in some existing systems, and can obtain better scalability according to the particularity of the cloud computing environment.

Suggested Citation

  • Hui Zhai & Jia Wang, 2021. "Automatic deployment system of computer program application based on cloud computing," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 731-740, August.
    • Handle: RePEc:spr:ijsaem:v:12:y:2021:i:4:d:10.1007_s13198-021-01068-0
    DOI: 10.1007/s13198-021-01068-0
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    References listed on IDEAS

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    1. Mohammed Abdullahi & Md Asri Ngadi, 2016. "Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-29, June.
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