Abstract | ||
---|---|---|
In the big data era, there are many demands for efficient and easy to use data replay services over large scale historical data. For example, stock security trading and on-line e-business services need historical data replay services to conduct system testing or ex-post review and analysis, just like replaying videos for security monitoring. Stream processing systems are designed for processing st... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/TPDS.2018.2829759 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Distributed databases,Structured Query Language,Sorting,Sparks,Data models,Semantics | SQL,Data modeling,System testing,Computer science,Queue,Distributed database,Stream processing,Big data,Distributed computing,Speedup | Journal |
Volume | Issue | ISSN |
29 | 10 | 1045-9219 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Rong Gu | 1 | 110 | 17.77 |
Yu-Fa Zhou | 2 | 0 | 0.34 |
Zhaokang Wang | 3 | 17 | 5.17 |
Chunfeng Yuan | 4 | 5 | 6.90 |
Yihua Huang | 5 | 8 | 6.61 |