Name
Abstract | ||
|---|---|---|
Block prefetching is a technology widely used to improve the I/O efficiency of storage systems. Block access pattern prediction is a key part of the prefetching algorithm. However, existing block access pattern prediction methods cannot achieve the goals of low overhead, real-time, and self- adaptability at the same time. In this paper, we propose a real-time prediction method, called KBP (K-Truss... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ISPA-BDCloud-SocialCom-SustainCom52081.2021.00035 | 2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom) |
Keywords | DocType | ISSN |
prefetching,access pattern,K-Truss dense sub-graph,block storage | Conference | 2158-9178 |
ISBN | Citations | PageRank |
978-1-6654-3574-1 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jia Ma | 1 | 0 | 0.34 |
| Xianqi Zheng | 2 | 0 | 0.34 |
| Yubo Liu | 3 | 2 | 1.38 |
| Zhiguang Chen | 4 | 8 | 7.25 |