Name
Abstract | ||
|---|---|---|
The word “Cloud” has become more and more popular these days. One of its applications, Cloud for manufacturing, is also proposed as we called Cloud Manufacturing. It is realized by setup a public service cloud platform which shares manufacturing resources and knowledge. As the big data era comes, the amount of both resources and knowledge in the platform may increase much more rapidly than ever before. Thus, new ways to collect and analyze knowledge and other resources should be found to guarantee the efficiency of the whole platform. In this paper, a framework for collecting, storing and analyzing massive knowledge in cloud environment is proposed. It gives different ways to collect knowledge, and how to store and analyze massive knowledge with distributed system. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BMEI.2014.7002889 | BMEI |
Keywords | Field | DocType |
big data,massive-knowledge collection,manufacturing knowledge sharing,massive-knowledge storage,manufacturing resource sharing,public service cloud platform,manufacturing industries,knowledge management,massive-knowledge analysis,resource allocation,cloud manufacturing,knowledge,cloud environment,cloud computing,resource analysis,massive knowledge management,resource collection,distributed system,materials,computational modeling,data models | Data science,Cloud manufacturing,Data modeling,Public service,Computer science,Big data,Cloud computing | Conference |
Citations | PageRank | References |
1 | 0.37 | 4 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaoshi Wang | 1 | 1 | 0.37 |
| Chun Zhao | 2 | 27 | 7.67 |
| Lin Zhang | 3 | 580 | 34.51 |