Friday, March 26, 2004
EGRC 313 -- NCSU Centennial Campus
(Driving directions and parking suggestions)
Recent advancements in wireless sensors, RFID technology, and mobile devices have enabled the development of information systems that monitor and react to events in the real world. When deployed on a large (e.g., national) scale, these systems assume a high fan-in (or HiFi) architecture, in which large numbers of events measured at the edges of the network are continually refined, summarized, augmented, and aggregated as they flow towards the interior. HiFi systems present a wealth of new research problems reflecting the different concerns and priorities at each level of the system as well as the interactions among the levels. The solutions will require insights from recent efforts in data stream processing, sensor databases, event systems, data warehousing, and spatio-temporal data management. In this talk I will discuss some of the foundational work we have done in the Telegraph and TinyDB projects at Berkeley, and then speculate on how these and related efforts can serve as building blocks in the development of HiFi systems.
About the speaker: Michael Franklin is an Associate Professor of Computer Science at the University of California, Berkeley where his research focuses on the architecture and performance of distributed databases and information systems. At Berkeley he co-leads the Telegraph project on adaptive data stream processing and works on projects ranging from sensor networks to grid computing. He spent several years developing database systems in industry prior to receiving his Ph.D. from the University of Wisconsin, Madison in 1993. He is program committee co-chair of the 2005 ICDE conference, and serves on the editorial boards of the ACM Transactions on Database Systems, and the VLDB Journal. He spent part of 2003 as an Executive-in-Residence at the Mayfield Fund, a venture capital firm in Menlo Park, CA, where he focused on emerging opportunities in sensor networks, RFID, and related technologies.