Name
Abstract | ||
|---|---|---|
Demand is expected to grow significantly for cloud services that deliver sophisticated artificial intelligence on the critical path of user queries, as is the case with intelligent personal assistants such as Apple's Siri. If the prediction of the trend is correct, these types of applications will likely consume most of the world's computing cycles. The Sirius project was motivated to investigate ... |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/MM.2016.37 | IEEE Micro |
Keywords | Field | DocType |
Cloud computing,Predictive models,Speech recognition,Design methodology,Hidden Markov models,Servers,Project management,Warehousing | Sirius,Data science,Computer science,As is,Parallel computing,Server,Systems design,Design methods,Critical path method,Cloud computing,Project management | Journal |
Volume | Issue | ISSN |
36 | 3 | 0272-1732 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Johann Hauswald | 1 | 164 | 6.55 |
| Michael A. Laurenzano | 2 | 52 | 2.58 |
| Yunqi Zhang | 3 | 232 | 9.91 |
| Cheng Li | 4 | 2 | 0.72 |
| Austin Rovinski | 5 | 137 | 7.24 |
| Arjun Khurana | 6 | 49 | 2.39 |
| Ronald G. Dreslinski | 7 | 1258 | 81.02 |
| Trevor Mudge | 8 | 6139 | 659.74 |
| Vinicius Petrucci | 9 | 49 | 2.72 |
| Lingjia Tang | 10 | 1229 | 46.41 |
| Jason Mars | 11 | 1328 | 49.94 |