Design and Analysis of OpenStack Cloud Smart Factory Platform for Manufacturing Big Data Applications

被引：0

作者：

Ahn, Dae Jun ^{[1
]}

Jeong, Jongpil ^{[1
]}

机构：

[1] Sungkyunkwan Univ, Dept Smart Factory Convergence, Suwon 16419, Gyeonggi Do, South Korea

来源：

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2019, PT II: 19TH INTERNATIONAL CONFERENCE, SAINT PETERSBURG, RUSSIA, JULY 1-4, 2019, PROCEEDINGS, PART II | 2019年 / 11620卷

关键词：

Smart Factory; BigData; OpenSource; OpenStack Cloud; Local cloud disk;

D O I：

10.1007/978-3-030-24296-1_6

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In building an open source cloud platform, you can configure the OpenStack cloud architecture to implement services with capabilities for smart factories. In addition, we study the limitations, speed, and security analysis of existing cloud. In addition, we confirm that the data that accumulates when smart factory data is generated becomes unstructured data, and solves the problem with the prototype and various types of open source cloud to overcome this problem. The Smart Factory is composed of users in various environments in connection with all tasks such as distribution, production, and research, as well as the manufacturing environment. We design a smart factory cloud that integrates these environments. When storing files of various types, it is possible to store secure data by encrypting and decrypting various types of files and the like. In addition, for the convenience of cloud users, all data can be stored, edited and modified on any local PC connected to the cloud. Finally, open source-based cloud computing optimized for big data environments for smart factories can be configured.

引用

页码：53 / 61

页数：9

共 13 条

[1] A PMIPv6-based User Mobility Pattern Scheme for SDN-defined Smart Factory Networking [J].

Ahn, Dae Jun ;

Jeong, Jongpil .

15TH INTERNATIONAL CONFERENCE ON MOBILE SYSTEMS AND PERVASIVE COMPUTING (MOBISPC 2018) / THE 13TH INTERNATIONAL CONFERENCE ON FUTURE NETWORKS AND COMMUNICATIONS (FNC-2018) / AFFILIATED WORKSHOPS, 2018, 134 :235-242

[2] A Novel Cloud-Fog Computing Network Architecture for Big-Data Applications in Smart Factory Environments [J].

Ahn, Dae Jun ;

Jeong, Jongpil ;

Lee, Sunpyo .

COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2018, PT V, 2018, 10964 :520-530

[3] Industrial IoT Data Scheduling Based on Hierarchical Fog Computing: A Key for Enabling Smart Factory [J].

Chekired, Djabir Abdeldjalil ;

Khoukhi, Lyes ;

Mouftah, Hussein T. .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (10) :4590-4602

[4]

Chi Y., 2018, 2018 IEEE ACM INT C, P1

[5] Secure Data Storage and Searching for Industrial IoT by Integrating Fog Computing and Cloud Computing [J].

Fu, Jun-Song ;

Liu, Yun ;

Chao, Han-Chieh ;

Bhargava, Bharat K. ;

Zhang, Zhen-Jiang .

IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2018, 14 (10) :4519-4528

[6] A big data enabled load-balancing control for smart manufacturing of Industry 4.0 [J].

Li, Di ;

Tang, Hao ;

Wang, Shiyong ;

Liu, Chengliang .

CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2017, 20 (02) :1855-1864

[7] IoT embedded linux system based on Raspberry Pi applied to real-time cloud monitoring of a decentralized photovoltaic plant [J].

Pereira, Renata I. S. ;

Dupont, Ivonne M. ;

Carvalho, Paulo C. M. ;

Juca, Sandro C. S. .

MEASUREMENT, 2018, 114 :286-297

[8] On the Synchronization Bottleneck of OpenStack Swift-Like Cloud Storage Systems [J].

Ruan, Mingkang ;

Titcheu, Thierry ;

Zhai, Ennan ;

Li, Zhenhua ;

Liu, Yao ;

E, Jinlong ;

Cui, Yong ;

Xu, Hong .

IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2018, 29 (09) :2059-2074

[9]

Sefraoui O., 2012, International Journal of Computer Applications, V55, P38, DOI [DOI 10.5120/8738-2991, 10.5120/8738-2991]

[10] A Self-Provisioning Mechanism in OpenStack for IoT Devices [J].

Solano, Antonio ;

Dormido, Raquel ;

Duro, Natividad ;

Miguel Sanchez, Juan .

SENSORS, 2016, 16 (08)

← 1 2 →