Cloud Control Systems (CCSs) harness the power of cloud resources to carry out intense computational tasks, however, they face challenges in delivering time-critical control signals due to network and cloud-induced delays. In this paper, we introduce a novel framework, "Punctual Cloud", designed to enhance the timely delivery of control signals in CCS. This framework ensures that control signals are calculated in the cloud and delivered promptly, minimizing system-induced delays. The punctual cloud framework allows a basic controller to manage dynamic, time-sensitive processes over the cloud and is implemented in a microservice architecture to simplify CCS deployment and maintenance. Our evaluation indicates that our framework, while requiring less computational effort, is capable of tolerating longer delays compared to an optimal controller like Model Predictive Control (MPC), which is typically used in time-delay control systems.
Original languageEnglish
Title of host publication2023 IEEE 12th International Conference on Cloud Networking (CloudNet)
PublisherIEEE - Institute of Electrical and Electronics Engineers Inc.
Publication statusAccepted/In press - 2023
Event12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023 - New York, United States
Duration: 2023 Nov 12023 Nov 3


Conference12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023
Country/TerritoryUnited States
CityNew York

Subject classification (UKÄ)

  • Control Engineering
  • Computer Systems

Free keywords

  • Cloud control systems
  • Time-critical control
  • Delay compensation
  • Microservice architecture


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