An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System
The cloud computing and microsensor technology has greatly changed environmental monitoring, but it is difficult for cloud-computing based monitoring system to meet the computation demand of smaller monitoring granularity and increasing monitoring applications. As a novel computing paradigm, edge co...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/21/6125 |
| _version_ | 1797549610499047424 |
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| author | Juan Fang Juntao Hu Jianhua Wei Tong Liu Bo Wang |
| author_facet | Juan Fang Juntao Hu Jianhua Wei Tong Liu Bo Wang |
| author_sort | Juan Fang |
| collection | DOAJ |
| description | The cloud computing and microsensor technology has greatly changed environmental monitoring, but it is difficult for cloud-computing based monitoring system to meet the computation demand of smaller monitoring granularity and increasing monitoring applications. As a novel computing paradigm, edge computing deals with this problem by deploying resource on edge network. However, the particularity of environmental monitoring applications is ignored by most previous studies. In this paper, we proposed a resource allocation algorithm and a task scheduling strategy to reduce the average completion latency of environmental monitoring application, when considering the characteristic of environmental monitoring system and dependency among task. Simulations are conducted, and the results show that compared with the traditional algorithms. With considering the emergency task, the proposed methods decrease the average completion latency by 21.6% in the best scenario. |
| first_indexed | 2024-03-10T15:17:04Z |
| format | Article |
| id | doaj.art-9a24e6b1badc4a4ba34b92e7c02c6e39 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:17:04Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-9a24e6b1badc4a4ba34b92e7c02c6e392023-11-20T18:48:40ZengMDPI AGSensors1424-82202020-10-012021612510.3390/s20216125An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring SystemJuan Fang0Juntao Hu1Jianhua Wei2Tong Liu3Bo Wang4Faculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaFaculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaFaculty of Information Technology, Beijing University of Technology, Beijing 100124, ChinaBeijing Computing Center, Beijing 100094, ChinaNational Computer Network Emergency Response Technical Team, Coordination Center of China, Beijing 100096, ChinaThe cloud computing and microsensor technology has greatly changed environmental monitoring, but it is difficult for cloud-computing based monitoring system to meet the computation demand of smaller monitoring granularity and increasing monitoring applications. As a novel computing paradigm, edge computing deals with this problem by deploying resource on edge network. However, the particularity of environmental monitoring applications is ignored by most previous studies. In this paper, we proposed a resource allocation algorithm and a task scheduling strategy to reduce the average completion latency of environmental monitoring application, when considering the characteristic of environmental monitoring system and dependency among task. Simulations are conducted, and the results show that compared with the traditional algorithms. With considering the emergency task, the proposed methods decrease the average completion latency by 21.6% in the best scenario.https://www.mdpi.com/1424-8220/20/21/6125environmental monitoringedge computingresource allocationtask scheduling |
| spellingShingle | Juan Fang Juntao Hu Jianhua Wei Tong Liu Bo Wang An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System Sensors environmental monitoring edge computing resource allocation task scheduling |
| title | An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System |
| title_full | An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System |
| title_fullStr | An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System |
| title_full_unstemmed | An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System |
| title_short | An Efficient Resource Allocation Strategy for Edge-Computing Based Environmental Monitoring System |
| title_sort | efficient resource allocation strategy for edge computing based environmental monitoring system |
| topic | environmental monitoring edge computing resource allocation task scheduling |
| url | https://www.mdpi.com/1424-8220/20/21/6125 |
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