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HotOS X, Tenth Workshop on Hot Topics in Operating Systems — Abstract
PRESTO: A Predictive Storage Architecture for Sensor Networks
Peter Desnoyers, Deepak Ganesan, Huan Li, Ming Li, and Prashant Shenoy,
University of Massachusetts, Amherst
Abstract
We describe PRESTO, a predictive storage architecture
for emerging large-scale, hierarchical sensor networks.
In contrast to existing techniques, PRESTO is a proxy-centric architecture, where tethered proxies balance the
need for interactive querying from users with the energy
optimization needs of the remote sensors. The main
novelty in this work lies in extensive use of predictive
techniques that are a natural fit to the correlated behavior of the physical world. PRESTO exploits technology
trends in storage to build an architecture that emphasizes archival at remote sensors and intelligent caching
at proxies. The system also addresses user needs for
querying such sensor networks by exposing a unified,
easy to use data abstraction across numerous proxies and
remote sensors.
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