QoS-Prediction Cloud Service Recommendation by Collaborative Filtering in Cloud Manufacturing Platform

2013 ◽  
Vol 5 (3) ◽  
pp. 295-304
Author(s):  
Gongxun Cheng ◽  
Lilan Liu ◽  
Huahuan Lei ◽  
Zhiqi Lin ◽  
Manping Li ◽  
...  
Keyword(s):  
Collaborative Filtering ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Service Recommendation ◽  
Qos Prediction ◽  
Manufacturing Platform

Time-aware cloud service recommendation using similarity-enhanced collaborative filtering and ARIMA model

2018 ◽  
Vol 107 ◽  
pp. 103-115 ◽  
Author(s):  
Shuai Ding ◽  
Yeqing Li ◽  
Desheng Wu ◽  
Youtao Zhang ◽  
Shanlin Yang
Keyword(s):  
Collaborative Filtering ◽  
Arima Model ◽  
Cloud Service ◽  
Service Recommendation ◽  
Time Aware

Cloud service QoS prediction via exploiting collaborative filtering and location-based data smoothing

2015 ◽  
Vol 27 (18) ◽  
pp. 5826-5839 ◽  
Author(s):  
Mingdong Tang ◽  
Tingting Zhang ◽  
Jianxun Liu ◽  
Jinjun Chen
Keyword(s):  
Collaborative Filtering ◽  
Cloud Service ◽  
Data Smoothing ◽  
Qos Prediction

scholarly journals A Bilayer Resource Model for Cloud Manufacturing Services

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Linan Zhu ◽  
Yanwei Zhao ◽  
Wanliang Wang
Keyword(s):  
Manufacturing Industry ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Service Description ◽  
Resource Model ◽  
Attribute Model ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Manufacturing Platform ◽  
Resource Service

Cloud Manufacturing and Cloud Service is currently one of the main directions of development in the manufacturing industry. Under the Cloud Manufacturing environment, the characteristics of publishing, updating, searching, and accessing manufacturing resources are massive, complex, heterogeneous, and so forth. A bilayer manufacturing resource model with separation of Cloud End and Cloud Manufacturing Platform is proposed in this paper. In Cloud End, manufacturing resources are divided into single resource and complex resource, and a basic data model of manufacturing resources oriented to enterprise interior is established to store the physical characteristics. In Cloud Manufacturing Platform, a resource service attribute model oriented to actual users is established to store the service characteristics. This model is described in detail and realized with stateful Web Service Description Language (WSDL) document. An example is provided for illustrating the implementation of the concept.

scholarly journals Time-Aware QoS Prediction for Cloud Service Recommendation Based on Matrix Factorization

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 77716-77724 ◽  
Author(s):  
Shun Li ◽  
Junhao Wen ◽  
Fengji Luo ◽  
Gianluca Ranzi
Keyword(s):  
Matrix Factorization ◽  
Cloud Service ◽  
Service Recommendation ◽  
Qos Prediction ◽  
Time Aware

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.

Key Issues for Cloud Manufacturing Platform

2012 ◽  
Vol 472-475 ◽  
pp. 2621-2625 ◽  
Author(s):  
Zhen Nan Zhang ◽  
Pei Si Zhong
Keyword(s):  
Service Discovery ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Added Value ◽  
Future Research ◽  
Manufacturing Capability ◽  
Key Issues ◽  
Manufacturing Resource ◽  
Manufacturing Platform ◽  
Cloud Service Composition

In order to realize sharing and collaboration of manufacturing resource and manufacturing capability based on knowledge and to realize added value of manufacturing resource and manufacturing capability. In this paper, we propose an ontology-based architecture for cloud manufacturing platform. Meanwhile, several key issues for cloud manufacturing platform including semantic description of manufacturing resource and manufacturing capability, manufacturing cloud service advertisement, manufacturing cloud service discovery and manufacturing cloud service composition are studied in particular. Thus, the research provides foundation for the future research, development, implementation and application of cloud manufacturing platform.

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