ET SIG: Querying the Physical World: TinyDB and TASK
Prof. Joseph Hellerstein, UC Berkeley and Intel Research
Dr. Wei Hong, Intel Research
Prof. Sam Madde head of the database group -MIT Computer Science and Artificial Intelligence Laboratory
Wireless,low-power sensor networks promise to open the physical world to inexpensive, large-scale, real-time analysis. This holds promise for a new generation of applications in areas that include environmental monitoring, physical plant management, traffic monitoring and asset tracking. Recent years have seen the development of viable, inexpensive sensornet technologies that provide sensing, modest computation, and radio communication. On top of these platforms, new embedded operating systems and ad-hoc networking stacks are coming of age.
Early adopters of sensornet technology have been stymied by the challenges of writing distributed algorithms on these embedded, power-starved platforms. TinyDB is a system developed jointly at Intel Research and UC Berkeley to overcome this hurdle. TinyDB is an embedded, distributed query processor that runs inside a sensor network. It allows application programmers to interact with an entire sensornet much as they interact with a database: submitting declarative SQL-like queries that collect and aggregate real-time information from a set of deployed sensors. Given a query, TinyDB automatically manages the communication, computation, and power consumption in the network, analogous to the way that a traditional database manages disk access and query execution. Recently, TinyDB has become the cornerstone of the Tiny Sensor Kit (TASK): a turnkey "sensornet in a box" from Intel Research that provides end users with a useful subset of the TinyDB functionality in a minimal-configur ation package.
In this talk, we will discuss the system and data management challenges in sensor networks, and the ways that database and network technologies interrelate in this new design space. We will present some of our solutions in TinyDB/TASK, and share experiences deploying sensor networks in a variety of settings. We will also provide a sense of where the research in this arena is headed, in our effort to make it easy to gather ever more accurate information with ever reduced energy consumption.
About the Presenters
Dr. Wei Hong is a senior researcher and principal investigator at Intel Research, Berkeley. His current research focuses on data management issues in sensor networks. He leads the Tiny Application Sensor Kit (TASK) project at Intel Research and co-designed/developed TinyDB, an open-source, in-network sensor database system. Prior to joining Intel Research, Dr. Hong co-founded and architected two startup companies: Illustra Information Technology Inc. and Cohera Corp. Illustra developed the first successful commercial Object-Relational database system. It was acquired by Informix, now part of IBM. Cohera provided electronic catalog management solutions based on a novel federated database system that it developed. Its technology was acquired by PeopleSoft. Dr. Hong earned a Ph.D. in computer science from UC Berkeley and holds a master and two bachelor degrees from Tsinghua University in Beijing, China.
Joseph M. Hellerstein is a Professor of Computer Science at the University of California, Berkeley, and is the Director of Intel Research, Berkeley. He is an Alfred P. Sloan Research Fellow, and a recipient of multiple awards, including ACM-SIGMOD's "Test of Time" award for his first published paper, NSF CAREER, NASA New Investigator, Okawa Foundation Fellowship, and IBM's Best Paper in Computer Science. In 1999, MIT's Technology Review named him one of the top 100 young technology innovators worldwide in their inaugural "TR100" list.
Hellerstein's research focuses on data management and movement, including database systems, sensor networks, peer-to-peer and distributed systems.
Prior to his position at Intel Research, Hellerstein was a co-founder of Cohera Corporation (now part of PeopleSoft), where he served as Chief Scientist from 1998-2001. Key ideas from his research have been incorporated into commercial and open-source database systems including IBM's DB2 and Informix, PeopleSoft's Catalog Management, and the open-source PostgreSQL system. Hellerstein currently serves on the technical advisory boards of a number of software companies, and has served as a member of the advisory boards of ACM SIGMOD and Ars Digita University.
Hellerstein received his Ph.D. at the University of Wisconsin, Madison, a masters degree from UC Berkeley, and a bachelor's degree from Harvard College. He spent a pre-doctoral internship at IBM Almaden Research Center, and a post-doctoral internship at the Hebrew University in Jerusalem.
Dr. Madden's primary research interests are in the areas of distributed databases, sensor networks, and wide area networking. He is an author of the TinyDB system for data collection in sensor networks, and is leading the database group at the MIT Computer Science and Artificial Intelligence Laboratory. Prior to joining MIT, Dr. Madden was a post-doctoral researcher at Intel Research, Berkeley, where he was involved in a number of real world deployments of sensor network technology, including deployments of sensors in the Berkeley Botanical Garden and on Great Duck Island off the coast of Maine. Dr. Madden received his B.S. and M.Eng. in Electrical Engineering and Computer Science from MIT in 1999. He received his Ph.D. in Computer Science from UC Berkeley in 2003.
Cubberley Community Center
4000 Middlefield Road, Room H-1
Palo Alto, CA
7:00 - 7:20 p.m. Registration / Networking / Refreshments / Pizza
7:20 - 9:00 p.m. Presentation
$15 at the door for non-SDForum members
No charge for SDForum members
Please call 408.494.8378 for student memberships
No registration required
More on the Emerging Technology SIG....