Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing

Fog computing has been proposed as an extension of cloud computing to provide computation, storage, and network services in network edge. For smart manufacturing, fog computing can provide a wealth of computational and storage services, such as fault detection and state analysis of devices in assemb...

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Bibliographic Details
Published in:	IEEE transactions on industrial informatics Vol. 14; no. 10; pp. 4712 - 4721
Main Authors:	Yin, Luxiu, Luo, Juan, Luo, Haibo
Format:	Journal Article
Language:	English
Published:	Piscataway IEEE 01.10.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Assembly lines Cloud computing Concurrency Container Containers Edge computing Fault detection fog computing Processor scheduling Resource allocation Resource management Resource scheduling Scheduling algorithms Servers smart industry Task analysis Task scheduling
ISSN:	1551-3203, 1941-0050
Online Access:	Get full text
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Abstract	Fog computing has been proposed as an extension of cloud computing to provide computation, storage, and network services in network edge. For smart manufacturing, fog computing can provide a wealth of computational and storage services, such as fault detection and state analysis of devices in assembly lines, if the middle layer between the industrial cloud and the terminal device is considered. However, limited resources and low-delay services hinder the application of new virtualization technologies in the task scheduling and resource management of fog computing. Thus, we build a new task-scheduling model by considering the role of containers. Then, we construct a task-scheduling algorithm to ensure that the tasks are completed on time and the number of concurrent tasks for the fog node is optimized. Finally, we propose a reallocation mechanism to reduce task delays in accordance with the characteristics of the containers. The results showed that our proposed task-scheduling algorithm and reallocation scheme can effectively reduce task delays and improve the concurrency number of the tasks in fog nodes.
AbstractList	Fog computing has been proposed as an extension of cloud computing to provide computation, storage, and network services in network edge. For smart manufacturing, fog computing can provide a wealth of computational and storage services, such as fault detection and state analysis of devices in assembly lines, if the middle layer between the industrial cloud and the terminal device is considered. However, limited resources and low-delay services hinder the application of new virtualization technologies in the task scheduling and resource management of fog computing. Thus, we build a new task-scheduling model by considering the role of containers. Then, we construct a task-scheduling algorithm to ensure that the tasks are completed on time and the number of concurrent tasks for the fog node is optimized. Finally, we propose a reallocation mechanism to reduce task delays in accordance with the characteristics of the containers. The results showed that our proposed task-scheduling algorithm and reallocation scheme can effectively reduce task delays and improve the concurrency number of the tasks in fog nodes.
Author	Yin, Luxiu Luo, Juan Luo, Haibo
Author_xml	– sequence: 1 givenname: Luxiu orcidid: 0000-0003-4273-7492 surname: Yin fullname: Yin, Luxiu email: yinluxiu@hnu.edu.com organization: College of Computer Science and Electronic Engineering, University of Hunan, Changsha, China – sequence: 2 givenname: Juan orcidid: 0000-0002-0858-427X surname: Luo fullname: Luo, Juan email: juanluo@hnu.edu.cn organization: College of Computer Science and Electronic Engineering, University of Hunan, Changsha, China – sequence: 3 givenname: Haibo surname: Luo fullname: Luo, Haibo email: 178573944@qq.com organization: Electronic Information and Control of Fujian University Engineering Research Center, Minjiang University, Fuzhou, China
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SubjectTerms	Algorithms Assembly lines Cloud computing Concurrency Container Containers Edge computing Fault detection fog computing Processor scheduling Resource allocation Resource management Resource scheduling Scheduling algorithms Servers smart industry Task analysis Task scheduling
Title	Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing
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