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VLDB
2007
ACM
181views Database» more  VLDB 2007»
14 years 11 months ago
STAR: Self-Tuning Aggregation for Scalable Monitoring
We present STAR, a self-tuning algorithm that adaptively sets numeric precision constraints to accurately and efficiently answer continuous aggregate queries over distributed data...
Navendu Jain, Michael Dahlin, Yin Zhang, Dmitry Ki...
PODS
2005
ACM
131views Database» more  PODS 2005»
14 years 10 months ago
Space efficient mining of multigraph streams
The challenge of monitoring massive amounts of data generated by communication networks has led to the interest in data stream processing. We study streams of edges in massive com...
Graham Cormode, S. Muthukrishnan
PODS
2006
ACM
122views Database» more  PODS 2006»
14 years 10 months ago
Space- and time-efficient deterministic algorithms for biased quantiles over data streams
Skew is prevalent in data streams, and should be taken into account by algorithms that analyze the data. The problem of finding "biased quantiles"-- that is, approximate...
Graham Cormode, Flip Korn, S. Muthukrishnan, Dives...
EDBT
2008
ACM
125views Database» more  EDBT 2008»
14 years 10 months ago
On the brink: searching for drops in sensor data
Sensor networks have been widely used to collect data about the environment. When analyzing data from these systems, people tend to ask exploratory questions--they want to find su...
Gong Chen, Junghoo Cho, Mark H. Hansen
SOSP
2005
ACM
14 years 7 months ago
Fault-scalable Byzantine fault-tolerant services
A fault-scalable service can be configured to tolerate increasing numbers of faults without significant decreases in performance. The Query/Update (Q/U) protocol is a new tool t...
Michael Abd-El-Malek, Gregory R. Ganger, Garth R. ...