Name
Abstract | ||
|---|---|---|
In a stream data analytics system, input data arrive continuously and trigger the processing and updating of analytics results. We focus on applications with real-time constraints, in which, any data unit must be completely processed within a given time duration. To handle fast data, it is common to place the stream data analytics system on top of a cloud infrastructure. Because stream properties,... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNET.2017.2741969 | IEEE/ACM Transactions on Networking |
Keywords | Field | DocType |
Data analysis,Real-time systems,Program processors,Feature extraction,Dynamic scheduling,Optimal scheduling,Electronic mail | Joins,Computer science,Computer network,Network topology,Real-time computing,Provisioning,Queueing theory,Resource allocation,Analytics,Dynamic priority scheduling,Cloud computing,Distributed computing | Journal |
Volume | Issue | ISSN |
25 | 6 | 1063-6692 |
Citations | PageRank | References |
8 | 0.47 | 32 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tom Z. J. Fu | 1 | 76 | 4.24 |
| Jianbing Ding | 2 | 68 | 4.72 |
| Richard T. B. Ma | 3 | 620 | 51.15 |
| Marianne Winslett | 4 | 3519 | 744.78 |
| Yin Yang | 5 | 42 | 6.14 |
| Zhenjie Zhang | 6 | 1288 | 61.63 |