IoT Device Virtualization for Efficient Resource Utilization in Smart City IoT Platform
To develop and interoperate smart city applications efficiently, smart city IoT platforms require efficient handling of various types of sensor devices, networking and computing resources, and different domain applications. To address this fact, in this paper, we introduce an IoT device virtualizati...
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Published in | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) pp. 419 - 422 |
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Main Authors | , , , , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
01.03.2019
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Subjects | |
Online Access | Get full text |
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Abstract | To develop and interoperate smart city applications efficiently, smart city IoT platforms require efficient handling of various types of sensor devices, networking and computing resources, and different domain applications. To address this fact, in this paper, we introduce an IoT device virtualization that enables efficient utilization of computing resources. The proposal applies a micro-service sharing and dynamic resource scaling. In the performance validations, we implement an early prototype using Docker, Kubernetes, and Apache Kafka. Through the preliminary experiment, we confirm that the proposal can improve the application processing time by appropriately sharing and scaling micro services. |
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AbstractList | To develop and interoperate smart city applications efficiently, smart city IoT platforms require efficient handling of various types of sensor devices, networking and computing resources, and different domain applications. To address this fact, in this paper, we introduce an IoT device virtualization that enables efficient utilization of computing resources. The proposal applies a micro-service sharing and dynamic resource scaling. In the performance validations, we implement an early prototype using Docker, Kubernetes, and Apache Kafka. Through the preliminary experiment, we confirm that the proposal can improve the application processing time by appropriately sharing and scaling micro services. |
Author | Ogawa, Keigo Nakamura, Kenichi Nakazato, Hidenori Katto, Jiro Kanai, Kenji Kanemitsu, Hidehiro |
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SubjectTerms | Cameras Cloud computing Containers Internet of Things IoT platform micro service Resource management Smart cities smart city Virtualization |
Title | IoT Device Virtualization for Efficient Resource Utilization in Smart City IoT Platform |
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