Title | ||
---|---|---|
Online Scheduling and Interference Alleviation for Low-Latency, High-Throughput Processing of Data Streams. |
Abstract | ||
---|---|---|
Data Streams occur naturally in several observational settings and often need to be processed with a low latency. Streams pose unique challenges: they have no preset lifetimes, the traffic on these streams may be bursty, and data arrival rates on these streams can be quite high. Furthermore, stream processing computations are generally stateful where the outcome of processing a data stream packet ... |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/TPDS.2017.2723403 | IEEE Transactions on Parallel and Distributed Systems |
Keywords | Field | DocType |
Interference,Resource management,Processor scheduling,Throughput,Optimal scheduling,Scheduling,Clustering algorithms | Data stream mining,Job shop scheduling,Fair-share scheduling,Scheduling (computing),Data stream,Computer science,Network packet,Real-time computing,Dynamic priority scheduling,Stream processing,Distributed computing | Journal |
Volume | Issue | ISSN |
28 | 12 | 1045-9219 |
Citations | PageRank | References |
4 | 0.41 | 31 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Thilina Buddhika | 1 | 9 | 1.89 |
Ryan Stern | 2 | 4 | 0.74 |
Kira Lindburg | 3 | 4 | 0.41 |
Kathleen Ericson | 4 | 50 | 3.82 |
Shrideep Pallickara | 5 | 837 | 92.72 |