Punctual Cloud: Unbinding Real-time Applications from Cloud-induced Delays

Peng, Haorui; Tärneberg, William; Fitzgerald, Emma; Kihl, Maria

doi:10.1109/isncc52172.2021.9615741

Cited by 2 publications

(3 citation statements)

References 21 publications

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“…To efficiently leverage microservice architecture's benefits, we deploy these services in a Kubernetesorchestrated, bare-metal cluster consisting of seven Ubuntu nodes [21]. The architecture mirrors the system proposed in [16], but with more reliable inter-service communications via a Message Queue (MQ).…”

Section: Punctual Cloud Servicesmentioning

confidence: 99%

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

Peng,

Akbarian,

Tärneberg

et al. 2023

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

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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.

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Section: Punctual Cloud Servicesmentioning

confidence: 99%

“…A multi-tier industry control system combining local and edge controllers was explored in [14], while [15] resolved a mission-critical control task using an MPC-based cloud service. Lastly, [16] investigated a resource allocation problem within CCS.…”

Section: Introductionmentioning

confidence: 99%

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

Peng,

Akbarian,

Tärneberg

et al. 2023

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…This delay impacts the plant's ability to timely receive and act upon control signals, as responses are expected before the plant sends subsequent state updates. The response delay, typically longer than network latency, accounts for transport and application protocols processing time and the controller application's execution time in the cloud [18].…”

Section: B Performance Metricsmentioning

confidence: 99%

Performance Evaluation of QUIC Vs. TCP for Cloud Control Systems

Peng,

Tärneberg,

Fitzgerald

et al. 2023

2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)

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QUIC is a UDP-based transport layer protocol developed by Google that is designed to deliver lower latency performance than TCP. However, its performance has been found to vary across different studies due to discrepancies in targeted applications and experimental configurations. Therefore, the protocol evaluation is heavily dependent on the QoS requirements of the target application. In this paper, we evaluate the performance of QUIC for cloud control systems by comparing it with TCP and TCP-based protocols. We performed the evaluation under two different cloud environments: a private edge cluster and public cloud. Different networks were utilized under multiple scenarios, including 5G, Ethernet LAN and Internet. Our objective is to determine if QUIC can meet the QoS requirements of a cloud control system. By focusing on this specific use case, we aim to provide a more comprehensive understanding of the potential benefits and limitations of QUIC on cloud control systems. The results of our evaluation suggest that the performance of different protocols varies based on the characteristics of different control systems. However, QUIC offers more advantages in deploying and enhancing time-critical systems.

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Punctual Cloud: Unbinding Real-time Applications from Cloud-induced Delays

Cited by 2 publications

References 21 publications

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

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

Performance Evaluation of QUIC Vs. TCP for Cloud Control Systems

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