The Design of the Logistics Information Sharing Platform Based on Cloud Computing

2013 ◽  
Vol 734-737 ◽  
pp. 3220-3223
Author(s):  
Ya Bing Jiao
Keyword(s):  
Cloud Computing ◽  
Information Sharing ◽  
Resource Utilization ◽  
High Reliability ◽  
Computing Technology ◽  
Technology Application ◽  
High Resource ◽  
Key Technologies ◽  
High Scalability ◽  
Logistics Information

Cloud computing is high scalability, high reliability, high resource utilization Characteristics. In this paper, according to the characteristics of the logistics information, combined with cloud computing technology to build the model of logistics information sharing platform based on cloud computing. On cloud computing technology application of key technologies in the logistics information sharing platform is analyzed. Finally, this paper has carried on the design of logistics information sharing platform based on cloud technology. With the use of logistics information sharing platform, the logistics information development play a powerful role in promoting.

scholarly journals Supply Chain Inventory Collaborative Management and Information Sharing Mechanism Based on Cloud Computing and 5G Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Fuan Zhang ◽  
Zhenzhi Gong
Keyword(s):  
Cloud Computing ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Internet Of Things ◽  
Information Sharing ◽  
Bullwhip Effect ◽  
Collaborative Management ◽  
Computing Technology ◽  
Chain Management ◽  
Information Sharing Mechanism

With the development of economic globalization, the competition among enterprises is increasingly fierce. Therefore, companies need close information sharing to realize the integration of supply chain. This article aims to study the collaborative management and information sharing mechanism of supply chain inventory based on cloud computing and 5G Internet of Things. This article first introduces the theory and methods of collaborative supply chain management and the information exchange mechanism and then discusses the problem of information sharing in the supply chain, that is, the bullwhip phenomenon, and then from the demand forecast, supply chain structure, time lag, and shortage game, six aspects are analyzed. The cause of the bullwhip phenomenon is analyzed. Secondly, this article proposes a quantitative analysis of the bullwhip effect, establishes a mathematical model of the bullwhip effect in the supply chain, and uses quantitative analysis to analyze the value of information sharing in the supply chain. Finally, this article uses cloud computing technology to build a supply chain information collaboration system architecture and uses EPC Internet of Things to build a supply chain information sharing model and describes the entire operation process of the supply chain. The experimental results of this paper show that the application of cloud computing technology to supply chain management establishes a system platform for supply chain information sharing, improves the overall operational efficiency of supply chain management, and realizes supply chain information sharing and business collaboration. In addition, the operating costs and risks of each node enterprise in the supply chain are reduced by 12% compared with the nonsharing situation, which also shows that the overall benefits of the supply chain have been correspondingly improved and market competitiveness has been enhanced.

The Oil and Gas Pipeline SCADA System Based on Cloud Computing and the Scheduling Algorithm

2014 ◽  
Vol 1044-1045 ◽  
pp. 1406-1410
Author(s):  
Liu Miao ◽  
Man Cang Yuan ◽  
Cheng Qiang Wang ◽  
Rui Qiang Gao
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Supervisory Control ◽  
Oil And Gas ◽  
High Reliability ◽  
Scheduling Algorithm ◽  
Gas Pipeline ◽  
Application Framework ◽  
Time Data ◽  
Scada System

For improving the reliability and resource utilization of oil and gas pipeline Supervisory Control and Data Acquisition (SCADA) system, the application framework of oil and gas pipeline SCADA system based on cloud computing and a high reliability scheduling algorithm is proposed in the paper. Simulation results show the SCADA system based on cloud computing with new scheduling algorithm can realize history data backup in many computers and real-time data processed with primary-backup copy. So, the new application framework and new scheduling algorithm can provide better reliability and improve the resource utilization of system.

About Cloud Forensics: Challenges and Solutions

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Vaithianathan Geetha
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Digital Forensics ◽  
Cyber Crime ◽  
Security Breach ◽  
Legal Evidence ◽  
Cloud Forensics ◽  
High Resource ◽  
User Data

Cloud computing is gaining wide popularity due to low infrastructure cost and high resource utilization. Cloud can be private or public. Users can store their data and avail cloud sessions on pay-per-use basis. This multi-tenancy support can lead to several problems. Cloud forensics is a cross discipline of cloud computing and digital forensics. It ensures to find out the culprit when there is a security breach. Several techniques are proposed to secure user data and provide legally acceptable evidences in case of cyber crime. This chapter aims at discussing the issues and challenges of cloud forensics and the currently available solutions. Logs are widely accepted as legal evidence of how fraud was perpetrated. Creation and maintenance of logs also poses a number of challenges. This chapter also aims at exploring these challenges and solutions for managing logs.

Analysis of Cloud Calculation and its Realization on Computers

2014 ◽  
Vol 568-570 ◽  
pp. 1520-1523
Author(s):  
San Chuan Luo ◽  
Shan Zhou
Keyword(s):  
Cloud Computing ◽  
Computer Technology ◽  
Cost Efficiency ◽  
Historical Development ◽  
Computer Network ◽  
High Reliability ◽  
Future Trend ◽  
Computing Technology ◽  
Network Algorithms ◽  
High Flexibility

Cloud computing is a new Internet-based computer technology. This paper introduces the historical development of cloud computing in the narrow and broad senses. Various definitions of cloud computing are compared, and a generalized concept of cloud computing is put forward combining its features of virtualization, dynamic extensibility, deployment according to need, high flexibility, high reliability, and high cost efficiency. Following a summery of the seven forms of cloud computing technology, the present status and future trend of cloud computing technology are analyzed. The research and analysis provides a guide to the direction of computer network algorithms.

Medical Information Sharing Architecture Based on Cloud Computing

2011 ◽  
Vol 130-134 ◽  
pp. 3095-3101
Author(s):  
Hao Li ◽  
Lei Xue ◽  
Yan Zhu ◽  
Chun Li Yang ◽  
Li Li Chi ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Information Sharing ◽  
System Architecture ◽  
Healthcare Service ◽  
Medical Information ◽  
Information Architecture ◽  
Key Technologies ◽  
Platform System ◽  
Software Prototype

The existing independent hospital information system hinders the cooperation and integration of healthcare service processes. In order to solve this problem, hospital information architecture based on cloud computing was put forward through analyzing the characteristics of medical information. The platform, system architecture and key technologies of the hospital information architecture were discussed. Software prototype was developed by using Hadoop, Tashi and MapReduce and implementation of this model proved to be feasible and effective.

The Design and Implementation of Integrated Backup System for EMS Base on the Cloud Computing Technology

2012 ◽  
Vol 463-464 ◽  
pp. 1309-1312
Author(s):  
Rong Chang Yuan ◽  
Li Xin Li ◽  
Qiang Li ◽  
Fang Chun Di ◽  
Yu Kun Zhu ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Distributed Storage ◽  
Evaluation Model ◽  
Computing Technology ◽  
Smart Power ◽  
Design And Implementation ◽  
Storage Technology ◽  
Backup System ◽  
Key Technologies ◽  
The Cost

With smart power grid put forward, establishing disaster backup system is in urgent need to improve the reliability and tolerance. The paper presents an evaluation model of EMS backup system constructing, Indicates the priority of the integrated inter-backup solution through establishing the backup system analyzing evaluation model. Analyse and Discuss the key technologies of cloud computing in integrated backup system.Base on the distributed storage technology of cloud computing, construct the EMS integrated inter-reserve solution, saving the cost greatly in the premise of ensuring the reliability of backup system.And then implemented it by using cloud computing technology

scholarly journals A Logistics Information System Model of Agricultural Product Based on Cloud Computing

2019 ◽  
Vol 7 (2) ◽  
pp. p99
Author(s):  
Xi Zhou
Keyword(s):  
Cloud Computing ◽  
Information System ◽  
Evaluation System ◽  
Process Management ◽  
Interface Layer ◽  
Base Layer ◽  
Agricultural Product ◽  
Computing Technology ◽  
Logistics Information System ◽  
Logistics Information

Cloud computing technology can play an important role in the various links of agricultural products logistics system, and provide strong technical support for the development of logistics management. The system architecture of agricultural product logistics information system based on cloud computing is drawn in the paper, which include the base layer, service layer, interface layer and user layer. From the perspective of the system functions, the agricultural product logistics information system based on cloud computing is designed to contain six subsystems of the planting management subsystem, process management subsystem, storage management subsystem, transportation management subsystem, order processing subsystem, consumer query subsystem. It has the features of with the help of the RFID technology, cloud computing technology and data mining technology. We decompose the index evaluation system of the agricultural product logistics information system into twelve scheme layers, and use the analytic hierarchy process to determine the weight of the evaluation indexes of each layer.

scholarly journals The Study of Pallet Pooling Information Platform Based on Cloud Computing

2018 ◽  
Vol 2018 ◽  
pp. 1-5 ◽  
Author(s):  
Jia-bin Li ◽  
Shi-wei He ◽  
Wei-chuan Yin
Keyword(s):  
Cloud Computing ◽  
Resource Utilization ◽  
Low Cost ◽  
Cloud Services ◽  
Computing Technology ◽  
Computing Power ◽  
Information Platform ◽  
Effective Implementation ◽  
Hardware Resource ◽  
High Flexibility

Effective implementation of pallet pooling system needs a strong information platform to support. Through the analysis of existing pallet pooling information platform (PPIP), the paper pointed out that the existing studies of PPIP are mainly based on traditional IT infrastructures and technologies which have software, hardware, resource utilization, and process restrictions. Because of the advantages of cloud computing technology like strong computing power, high flexibility, and low cost which meet the requirements of the PPIP well, this paper gave a PPIP architecture of two parts based on cloud computing: the users client and the cloud services. The cloud services include three layers, which are IaaS, PaaS, and SaaS. The method of how to deploy PPIP based on cloud computing is proposed finally.

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