IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation

Park, HyungBin; Kim, Tae‐Young; Jin, YoungHwan; Lee, Sukyoung

doi:10.1109/ccnc49033.2022.9700698

Cited by 1 publication

(1 citation statement)

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“…As industries increasingly adopt agile microservices, replacing traditional architectures, they also leverage containerized resources at the edge to optimize system efficiency [ 17 ]. This approach resonates particularly well within the realm of IoT-driven healthcare, where the seamless integration of microservices and containerization can amplify the monitoring and management of patient health statuses through applications [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring

Alasmary

2024

Sensors

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Addressing the increasing demand for remote patient monitoring, especially among the elderly and mobility-impaired, this study proposes the "ScalableDigitalHealth" (SDH) framework. The framework integrates smart digital health solutions with latency-aware edge computing autoscaling, providing a novel approach to remote patient monitoring. By leveraging IoT technology and application autoscaling, the "SDH" enables the real-time tracking of critical health parameters, such as ECG, body temperature, blood pressure, and oxygen saturation. These vital metrics are efficiently transmitted in real time to AWS cloud storage through a layered networking architecture. The contributions are two-fold: (1) establishing real-time remote patient monitoring and (2) developing a scalable architecture that features latency-aware horizontal pod autoscaling for containerized healthcare applications. The architecture incorporates a scalable IoT-based architecture and an innovative microservice autoscaling strategy in edge computing, driven by dynamic latency thresholds and enhanced by the integration of custom metrics. This work ensures heightened accessibility, cost-efficiency, and rapid responsiveness to patient needs, marking a significant leap forward in the field. By dynamically adjusting pod numbers based on latency, the system optimizes system responsiveness, particularly in edge computing’s proximity-based processing. This innovative fusion of technologies not only revolutionizes remote healthcare delivery but also enhances Kubernetes performance, preventing unresponsiveness during high usage.

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Section: Introductionmentioning

confidence: 99%

ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring

Alasmary

2024

Sensors

View full text Add to dashboard Cite

show abstract

IoT Edge Orchestration for Distributed DNN Service with Containerized Resource Allocation

Cited by 1 publication

References 5 publications

ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring

ScalableDigitalHealth (SDH): An IoT-Based Scalable Framework for Remote Patient Monitoring

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