Title | ||
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Scalable approximate query tracking over highly distributed data streams with tunable accuracy guarantees. |
Abstract | ||
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•We detail scalability issues of GM monitoring [5] in highly distributed networks.•We propose sampling-based tracking schemes with tunable accuracy guarantees.•Sample cardinality proportional to N out of N network sites.•Extensions and fine tuning of our schemes for the safe zone monitoring [26] concepts.•Extensive experimentation and comparative analysis with related works. |
Year | DOI | Venue |
---|---|---|
2018 | 10.1016/j.is.2018.05.001 | Information Systems |
Keywords | Field | DocType |
Distributed function tracking,Data streams,Sampling | Data mining,Data stream mining,Computer science,Cardinality,Streaming data,Sampling (statistics),Scalability | Journal |
Volume | ISSN | Citations |
76 | 0306-4379 | 0 |
PageRank | References | Authors |
0.34 | 29 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nikos Giatrakos | 1 | 176 | 14.94 |
Antonios Deligiannakis | 2 | 828 | 48.19 |
Minos Garofalakis | 3 | 4904 | 664.22 |
Daniel Keren | 4 | 931 | 116.90 |
Vasilis Samoladas | 5 | 218 | 41.22 |