2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)

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Design and Implementation of Smart Logistics Big Data Management Service Platform

Authors
Xianjuan Shang1, *, En Guo1, Yuxin Song1, Yusen Li1
1Shandong Xiehe University, Jinan, 250109, Shandong, China
*Corresponding author. Email: 43026511@qq.com
Corresponding Author
Xianjuan Shang
Available Online 25 July 2023.
DOI
10.2991/978-94-6463-210-1_12How to use a DOI?
Keywords
big data technology; Smart logistics; Manage service applications; Hadoop; data system
Abstract

With the overall informatization level of the logistics industry increasing day by day, the logistics data information shows explosive growth. The traditional logistics information management system lacks corresponding processing methods for large-scale, real-time and heterogeneous data information, which affects the high-quality development of modern logistics industry. In this regard, this paper aims at improving the efficiency of logistics data information processing and application, and takes big data technology as the core to build a smart logistics big data management service platform, which sets a new paradigm for the development of logistics industry under the big data environment. Hadoop framework is used as the distributed data processing server in the platform to collect and store massive data, and Spark framework is used as the data analysis and processing engine. In addition, the platform will be integrated with Web2.0 technology to provide convenience in user login, data access and visual interaction. After simulation test, the platform has outstanding advantages in data collection, data storage and real-time calculation, which realizes the application of logistics data value and makes a positive attempt to promote the construction of smart logistics mode.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
Series
Atlantis Highlights in Engineering
Publication Date
25 July 2023
ISBN
978-94-6463-210-1
ISSN
2589-4943
DOI
10.2991/978-94-6463-210-1_12How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xianjuan Shang
AU  - En Guo
AU  - Yuxin Song
AU  - Yusen Li
PY  - 2023
DA  - 2023/07/25
TI  - Design and Implementation of Smart Logistics Big Data Management Service Platform
BT  - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
PB  - Atlantis Press
SP  - 97
EP  - 101
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-210-1_12
DO  - 10.2991/978-94-6463-210-1_12
ID  - Shang2023
ER  -