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.
| Original language | English |
|---|---|
| Title of host publication | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 419-422 |
| Number of pages | 4 |
| ISBN (Electronic) | 9781538691519 |
| DOIs | |
| Publication status | Published - 2019 Mar 1 |
| Event | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 - Kyoto, Japan Duration: 2019 Mar 11 → 2019 Mar 15 |
Publication series
| Name | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
|---|
Conference
| Conference | 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019 |
|---|---|
| Country | Japan |
| City | Kyoto |
| Period | 19/3/11 → 19/3/15 |
Fingerprint
Keywords
- IoT platform
- micro service
- resource management
- smart city
- virtualization
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Information Systems and Management
- Artificial Intelligence
Cite this
IoT Device Virtualization for Efficient Resource Utilization in Smart City IoT Platform. / Ogawa, Keigo; Kanai, Kenji; Nakamura, Kenichi; Kanemitsu, Hidehiro; Katto, Jiro; Nakazato, Hidenori.
2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019. Institute of Electrical and Electronics Engineers Inc., 2019. p. 419-422 8730806 (2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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TY - GEN
T1 - IoT Device Virtualization for Efficient Resource Utilization in Smart City IoT Platform
AU - Ogawa, Keigo
AU - Kanai, Kenji
AU - Nakamura, Kenichi
AU - Kanemitsu, Hidehiro
AU - Katto, Jiro
AU - Nakazato, Hidenori
PY - 2019/3/1
Y1 - 2019/3/1
N2 - 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.
AB - 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.
KW - IoT platform
KW - micro service
KW - resource management
KW - smart city
KW - virtualization
UR - http://www.scopus.com/inward/record.url?scp=85067965123&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85067965123&partnerID=8YFLogxK
U2 - 10.1109/PERCOMW.2019.8730806
DO - 10.1109/PERCOMW.2019.8730806
M3 - Conference contribution
AN - SCOPUS:85067965123
T3 - 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
SP - 419
EP - 422
BT - 2019 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2019
PB - Institute of Electrical and Electronics Engineers Inc.
ER -