| Autor: |
Peiquan JIN |
| Jazyk: |
čínština |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
大数据, Vol 3, p 2017053 (2017) |
| Druh dokumentu: |
article |
| ISSN: |
2096-0271 |
| DOI: |
10.11959/j.issn.2096-0271.2017053 |
| Popis: |
How to efficiently store big data and support real-time big data processing and analysis has been the most critical issue in the development of big data technologies.Recently,new storage media such as phase change memory and flash memory provides new opportunities for developing an efficient framework for big data storage and management.Based on the challenges of efficient storage and real-time processing in big data storage and management,storage class memories were focused,which were represented by phase change memory,and the state of the art of new-storage-based big data storage management was discussed.Finally,some future research directions for new-storage-based big data storage management were proposed. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
