SAND: Scalable Adaptive Networked Databases Internet-Scale Adaptive Query Processing

The SAND project explores highly-distributed query processing for large-scale peer-to-peer systems, federated enterprise databases, and wide-area monitoring systems. A key focus area is network awareness, i.e., the use of the knowledge of network characteristics such as bandwidth and inter-node latencies, in query processing. Current topics include query placement, parallelized execution, and adaptivity to changing workload and network conditions.
  Our VLDB'04 paper explores the benefits of network-awareness in operator placement for data stream processing in a wide-area network setting. In a follow-up paper, we provide experimental results (using Borealis deployed on PlanetLab) demonstrating the benefits of network-aware query processing. Our NetDB'05 paper studies the question of  scalable, low-latency execution of joins in  networked environments.
   A more detailed alternative SAND page is here.

This project is based upon work supported by the National Science Foundation under Grant No. 0325703 and 0448284. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.