Manufacturing Information Based on Cloud Service Platform

2014 ◽  
Vol 971-973 ◽  
pp. 1901-1905
Author(s):  
Huan Zhang
Keyword(s):  
Cloud Service ◽  
Cloud Manufacturing ◽  
Maintenance Cost ◽  
Service Platform ◽  
Manufacturing Information ◽  
Key Technologies ◽  
On Line ◽  
Manufacturing Platform ◽  
Equipment Utilization ◽  
Cloud Service Platform

In order to solve dispersed resources of enterprise and diversity of manufacture, put forward the methods to realize manufacturing information using cloud technology. The key technologies of cloud computing and cloud manufacturing are discussed for small or middle manufacturing enterprise and studying technology characteristic, application pattern and realizing method for cloud manufacturing service platform. Fault diagnosis, performance evaluation and maintenance are shown on cloud manufacturing platform so that obtain data of equipment's state on line. Thus, improve equipment utilization and reduce shutting down time and maintenance cost.

Research on TPL Cloud Service Platform Architecture

2012 ◽  
Vol 482-484 ◽  
pp. 11-15
Author(s):  
Jin Rong Pang ◽  
Chun Hui Yuan
Keyword(s):  
Cloud Service ◽  
Synergistic Interaction ◽  
Third Party ◽  
Third Party Logistics ◽  
Cloud Platform ◽  
Service Platform ◽  
Platform Architecture ◽  
Key Technologies ◽  
Cloud Service Platform ◽  
Saas Cloud

This paper proposes the method of constructing the TPL (Third-party Logistics) cloud service platform for the problem of synergistic interaction between logistics and manufacturers. This paper analyzes the key technologies and the demand of TPL service platform from the perspective both of the logistics providers and of the users. This paper constructs the architecture of TPL cloud service platform based on intellisense and cloud, which consists of Iaas cloud platform, PaaS cloud platform, SaaS cloud platform and application terminals. We can achieve services convergence for the demand of logistics through the TPL cloud service platform.

Cloud Service Platform for Big Data of Manufacturing

2013 ◽  
Vol 456 ◽  
pp. 178-183 ◽  
Author(s):  
Hai Ping Zhu ◽  
Yu Xu ◽  
Qin Liu ◽  
Yun Qing Rao
Keyword(s):  
Big Data ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Service Platform ◽  
Platform Architecture ◽  
Application Mode ◽  
The Difference ◽  
Traditional Manufacturing ◽  
Cloud Service Platform ◽  
Manufacturing Data

With the rapid growth of manufacturing data, it is becoming an important issue to collect, manage, analyze and utilize the big data of manufacturing generated in the cloud manufacturing services mode. In order to solve the above problems, the characteristics of the big data and the difference from traditional manufacturing data were analyzed first. Then, the core technologies of manufacturing big data cloud service platform were grouped into a roadmap which was the guidance for research hierarchy. The platform architecture were also discussed to give an overall solution for each part and based on this platform a kind of application scenario was proposed. Thereby novel construction thinking for basic application mode of cloud manufacturing service based on manufacturing big data was provided.

Multimedia system and database simulation based on internet of things and cloud service platform

2020 ◽  
pp. 1-12
Author(s):  
Zhang Caiqian ◽  
Zhang Xincheng
Keyword(s):  
Internet Of Things ◽  
Cloud Service ◽  
Multimedia System ◽  
The Internet ◽  
Multimedia Database ◽  
Cloud Platform ◽  
Service Platform ◽  
Device Management ◽  
Cloud Service Platform ◽  
The Internet Of Things

The existing stand-alone multimedia machines and online multimedia machines in the market have certain deficiencies, so they cannot meet the actual needs. Based on this, this research combines the actual needs to design and implement a multi-media system based on the Internet of Things and cloud service platform. Moreover, through in-depth research on the MQTT protocol, this study proposes a message encryption verification scheme for the MQTT protocol, which can solve the problem of low message security in the Internet of Things communication to a certain extent. In addition, through research on the fusion technology of the Internet of Things and artificial intelligence, this research designs scheme to provide a LightGBM intelligent prediction module interface, MQTT message middleware, device management system, intelligent prediction and push interface for the cloud platform. Finally, this research completes the design and implementation of the cloud platform and tests the function and performance of the built multimedia system database. The research results show that the multimedia database constructed in this paper has good performance.

Meta‐Heuristic Algorithms for Best IoT Cloud Service Platform Selection

2021 ◽  
pp. 299-318
Author(s):  
Sudhansu Shekhar Patra ◽  
Sudarson Jena ◽  
G.B. Mund ◽  
Mahendra Kumar Gourisaria ◽  
Jugal Kishor Gupta
Keyword(s):  
Heuristic Algorithms ◽  
Cloud Service ◽  
Service Platform ◽  
Cloud Service Platform

A New User Implicit Requirements Process Method Oriented to Product Design

2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Qi Guo ◽  
Chengqi Xue ◽  
Mingjiu Yu ◽  
Zhangfan Shen
Keyword(s):  
Product Design ◽  
Resource Sharing ◽  
Collaborative Design ◽  
Cloud Service ◽  
User Requirements ◽  
User Requirement ◽  
Service Platform ◽  
Design And Optimization ◽  
Design Activities ◽  
Cloud Service Platform

User requirements play an important role in product design activities. Customer satisfaction has a direct bearing on the acquisition of user requirements for product design. However, these implicit requirements are equipped with the attributes of potentiality, fuzziness, and subjectivity. In this paper, a new implicit user requirement processing method based on a cloud service platform is proposed to resolve the difficulty of acquiring implicit requirements. Initially, this method collects user requirement data via a metaphor extraction technique using a cloud service platform. Then, the requirement data are clustered and mapped with product attributes. Finally, the mapping results are visualized to intuitively instruct product design and optimization. Overall, the method is a user-centered innovation paradigm implemented on a cloud service platform to realize collaborative design and resource sharing. Finally, an application case is presented to illustrate the method, and the results indicate that the method is effective and could serve as a reference for product design.

IoT Cloud Service Platform Business Case Study: SimPlatform

2021 ◽  
Vol 25 (2) ◽  
pp. 75-89
Author(s):  
Minhyuk Park ◽  
Sohyun Park ◽  
Daegeun Lim ◽  
Jungwoo Lee
Keyword(s):  
Cloud Service ◽  
Business Case ◽  
Service Platform ◽  
Business Case Study ◽  
Cloud Service Platform

Serverless, FaaS and why organizations need them

2021 ◽  
pp. 1-14
Author(s):  
Irina Astrova ◽  
Arne Koschel ◽  
Marc Schaaf ◽  
Samuel Klassen ◽  
Kerim Jdiya
Keyword(s):  
Real World ◽  
Cloud Service ◽  
Software Architectures ◽  
Service Platform ◽  
New Approach ◽  
The Real ◽  
Operational Costs ◽  
The Future ◽  
Depth Study ◽  
Cloud Service Platform

This paper is aimed at helping organizations to understand what they can expect from a serverless architecture in the future and how they can make sound decisions about the choice between microservice and serverless architectures in the present. A serverless architecture is a new approach to offering services in the cloud. It was invented as a solution to the problem that many organizations are facing today – about 85% of their servers have underutilized capacity, which is proved to be costly and wasteful. By employing the serverless architecture, the organizations get a way to eliminate idle, underutilized servers and thus, to reduce their operational costs. Many cloud providers are now jumping to the serverless world because they know it is going to be the future of software architectures. However, being a new approach, the serverless architecture is still relatively immature – it is in the early stages of its support by cloud service platform providers. This paper provides an in-depth study about the serverless architecture and how to apply FaaS in the real world.

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