A Bigdata Search Engine Based Cloud Computing Network Architecture in Smart Factory Environment
| Autor: | Jongpil Jeong, Dae Jun Ahn |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Network architecture Data processing business.industry Computer science Big data ComputerApplications_COMPUTERSINOTHERSYSTEMS Cloud computing 02 engineering and technology 021001 nanoscience & nanotechnology computer.software_genre Search engine 020901 industrial engineering & automation Data visualization Server Operating system 0210 nano-technology business computer Edge computing |
| Zdroj: | 2019 2nd International Conference on Intelligent Autonomous Systems (ICoIAS). |
| Popis: | There are increasing researches on cloud systems among various processing methods of data processing in Smart Factory operation. Accordingly, the cloud can be efficiently used to store, analyze, and utilize the accumulated data in the Smart Factory by using the opensource OpenStack. If you choose opensource for handling big data, you can use it in a variety of ways. Open space for storing data is developed as an opensource OpenStack, and storage can be built in the cloud. In addition, data stored in the cloud can be analyzed, prevented, and predicted in a realtime monitoring environment using an OpenSourcebased Search Engine. In this paper, we implement a network architecture that performs sensing of bigdata processing through RasoberryPi and processes the sensed data using an OpenSource based platform. |
| Databáze: | OpenAIRE |
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