Campus Units
Electrical and Computer Engineering
Document Type
Article
Publication Date
2009
Journal or Book Title
SIAM Journal on Computing
Volume
39
Issue
4
First Page
1309
Last Page
1339
DOI
10.1137/08071795X
Abstract
We present a new sketch for summarizing network data. The sketch has the following properties which make it useful in communication-efficient aggregation in distributed streaming scenarios, such as sensor networks: the sketch is duplicate insensitive, i.e., reinsertions of the same data will not affect the sketch and hence the estimates of aggregates. Unlike previous duplicate-insensitive sketches for sensor data aggregation [S. Nath et al., Synposis diffusion for robust aggregation in sensor networks, in Proceedings of the 2nd International Conference on Embedded Network Sensor Systems, (2004), pp. 250–262], [J. Considine et al., Approximate aggregation techniques for sensor databases, in Proceedings of the 20th International Conference on Data Engineering (ICDE), 2004, pp. 449–460], it is also time decaying, so that the weight of a data item in the sketch can decrease with time according to a user-specified decay function. The sketch can give provably approximate guarantees for various aggregates of data, including the sum, median, quantiles, and frequent elements. The size of the sketch and the time taken to update it are both polylogarithmic in the size of the relevant data. Further, multiple sketches computed over distributed data can be combined without loss of accuracy. To our knowledge, this is the first sketch that combines all the above properties.
Copyright Owner
Society for Industrial and Applied Mathematics
Copyright Date
2009
Language
en
File Format
application/pdf
Recommended Citation
Cormode, Graham; Tirthapura, Srikanta; and Xu, Bojian, "Time-decaying Sketches for Robust Aggregation of Sensor Data" (2009). Electrical and Computer Engineering Publications. 92.
https://lib.dr.iastate.edu/ece_pubs/92
Comments
This article is from SIAM Journal on Computing 39 (2009): 1309, doi: 10.1137/08071795X. Posted with permission.