Managing massive time series streams with multi-scale compressed trickles
Publication
, Journal Article
Reeves, G; Liu, J; Nath, S; Zhao, F
Published in: Proceedings of the VLDB Endowment
January 1, 2009
We present Cypress, a novel framework to archive and query massive time series streams such as those generated by sensor networks, data centers, and scientific computing. Cypress applies multi-scale analysis to decompose time series and to obtain sparse representations in various domains (e.g. frequency domain and time domain). Relying on the sparsity, the time series streams can be archived with reduced storage space. We then show that many statistical queries such as trend, histogram and correlations can be answered directly from compressed data rather than from reconstructed raw data. Our evaluation with server utilization data collected from real data centers shows significant benefit of our framework. © 2009 VLDB Endowment.
Duke Scholars
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Published In
Proceedings of the VLDB Endowment
DOI
EISSN
2150-8097
Publication Date
January 1, 2009
Volume
2
Issue
1
Start / End Page
97 / 108
Related Subject Headings
- 4605 Data management and data science
- 0807 Library and Information Studies
- 0806 Information Systems
- 0802 Computation Theory and Mathematics
Citation
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Reeves, G., Liu, J., Nath, S., & Zhao, F. (2009). Managing massive time series streams with multi-scale compressed trickles. Proceedings of the VLDB Endowment, 2(1), 97–108. https://doi.org/10.14778/1687627.1687639
Reeves, G., J. Liu, S. Nath, and F. Zhao. “Managing massive time series streams with multi-scale compressed trickles.” Proceedings of the VLDB Endowment 2, no. 1 (January 1, 2009): 97–108. https://doi.org/10.14778/1687627.1687639.
Reeves G, Liu J, Nath S, Zhao F. Managing massive time series streams with multi-scale compressed trickles. Proceedings of the VLDB Endowment. 2009 Jan 1;2(1):97–108.
Reeves, G., et al. “Managing massive time series streams with multi-scale compressed trickles.” Proceedings of the VLDB Endowment, vol. 2, no. 1, Jan. 2009, pp. 97–108. Scopus, doi:10.14778/1687627.1687639.
Reeves G, Liu J, Nath S, Zhao F. Managing massive time series streams with multi-scale compressed trickles. Proceedings of the VLDB Endowment. 2009 Jan 1;2(1):97–108.
Published In
Proceedings of the VLDB Endowment
DOI
EISSN
2150-8097
Publication Date
January 1, 2009
Volume
2
Issue
1
Start / End Page
97 / 108
Related Subject Headings
- 4605 Data management and data science
- 0807 Library and Information Studies
- 0806 Information Systems
- 0802 Computation Theory and Mathematics