HiFi: a unified architecture for high fan-in systems

Authors:
Owen Cooper;Anil Edakkunni;Michael J. Franklin;Wei Hong;Shawn R. Jeffery;Sailesh Krishnamurthy;Fredrick Reiss;Shariq Rizvi;Eugene Wu
Affiliations:
EECS Dept., UC Berkeley;EECS Dept., UC Berkeley;EECS Dept., UC Berkeley;Intel Research Berkeley;EECS Dept., UC Berkeley;EECS Dept., UC Berkeley;EECS Dept., UC Berkeley;EECS Dept., UC Berkeley;EECS Dept., UC Berkeley
Venue:
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Year:
2004

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Abstract

Advances in data acquisition and sensor technologies are leading towards the development of "High Fan-in" architectures: widely distributed systems whose edges consist of numerous receptors such as sensor networks and RFID readers and whose interior nodes consist of traditional host computers organized using the principle of successive aggregation. Such architectures pose significant new data management challenges. The HiFi system, under development at UC Berkeley, is aimed at addressing these challenges. We demonstrate an initial prototype of HiFi that uses data stream query processing to acquire, filter, and aggregate data from multiple devices including sensor motes, RFID readers, and low power gateways organized as a High Fan-in system.