Name
Abstract | ||
|---|---|---|
Storage, as a core function and fundamental component of computers, provides services for saving and reading digital data. The increasing complexity of data operations and storage architectures is challenging the performance and reliability of storage services. Artificial intelligence (AI) advancements in the field of intelligent algorithms show significant promise for resolving storage issues. A hot topic of current studies is how to marry AI and storage. In this paper, we present a comprehensive survey of “AI for Storage” and categorize storage research employing intelligent algorithms according to public literature in recent years into Architecture-oriented, Data-specific, and Operation & Maintenance. Based on this classification, we fine-categorize all of the studies by application environment and elaborate on their development history in order to provide guidelines for future research on how to employ AI technologies based on this history. Finally, we present a discussion and future work. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.1007/s42514-022-00101-3 | CCF Transactions on High Performance Computing |
Keywords | DocType | Volume |
Survey, Storage, AI, Machine learning | Journal | 4 |
Issue | ISSN | Citations |
3 | 2524-4922 | 0 |
PageRank | References | Authors |
0.34 | 36 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yu Liu | 1 | 492 | 30.80 |
| Hua Wang | 2 | 41 | 8.33 |
| Ke Zhou | 3 | 452 | 51.98 |
| Chunhua Li | 4 | 40 | 6.92 |
| Wu Rengeng | 5 | 0 | 0.34 |