Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems

Haorui Peng; Fatemeh Akbarian; William Tärneberg; Maria Kihl

doi:10.1109/CloudNet59005.2023.10490077

Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems

Haorui Peng, Fatemeh Akbarian, William Tärneberg, Maria Kihl

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

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 language	English
Title of host publication	2023 IEEE 12th International Conference on Cloud Networking (CloudNet)
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	9-17
Number of pages	9
DOIs	https://doi.org/10.1109/CloudNet59005.2023.10490077
Publication status	Published - 2023
Event	12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023 - New York, United States Duration: 2023 Nov 1 → 2023 Nov 3

Conference

Conference	12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023
Country/Territory	United States
City	New York
Period	2023/11/01 → 2023/11/03

Subject classification (UKÄ)

Control Engineering
Computer Systems

Free keywords

Cloud control systems
Time-critical control
Delay compensation
Microservice architecture

Access to Document

10.1109/CloudNet59005.2023.10490077

Cite this

@inproceedings{915ddec897f144b0958e017be6e3e593,

title = "Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems",

abstract = "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.",

keywords = "Cloud control systems, Time-critical control, Delay compensation, Microservice architecture",

author = "Haorui Peng and Fatemeh Akbarian and William T{\"a}rneberg and Maria Kihl",

year = "2023",

doi = "10.1109/CloudNet59005.2023.10490077",

language = "English",

pages = "9--17",

booktitle = "2023 IEEE 12th International Conference on Cloud Networking (CloudNet)",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023 ; Conference date: 01-11-2023 Through 03-11-2023",

}

Peng, H, Akbarian, F , Tärneberg, W & Kihl, M 2023, Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems. in 2023 IEEE 12th International Conference on Cloud Networking (CloudNet). IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 9-17, 12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023, New York, United States, 2023/11/01. https://doi.org/10.1109/CloudNet59005.2023.10490077

Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems. / Peng, Haorui; Akbarian, Fatemeh ; Tärneberg, William et al.
2023 IEEE 12th International Conference on Cloud Networking (CloudNet). IEEE - Institute of Electrical and Electronics Engineers Inc., 2023. p. 9-17.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems

AU - Peng, Haorui

AU - Akbarian, Fatemeh

AU - Tärneberg, William

AU - Kihl, Maria

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - Cloud control systems

KW - Time-critical control

KW - Delay compensation

KW - Microservice architecture

U2 - 10.1109/CloudNet59005.2023.10490077

DO - 10.1109/CloudNet59005.2023.10490077

M3 - Paper in conference proceeding

SP - 9

EP - 17

BT - 2023 IEEE 12th International Conference on Cloud Networking (CloudNet)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 12th IEEE International Conference on Cloud Networking, IEEE CloudNet 2023

Y2 - 1 November 2023 through 3 November 2023

ER -

Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems

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Design, optimisation and control of cloud-integrated autonomous networked systems

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Punctual Cloud: Achieving Punctuality for Time-Critical Cloud Control Systems

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Subject classification (UKÄ)

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Design, optimisation and control of cloud-integrated autonomous networked systems

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