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The mission of the RAD Lab (Reliable Adaptive Distributed systems) is to
create the technology to enable a single person to create and operate
the next great Internet service. That is, to create a service like Ebay
without having to build a company the size of Ebay. Leaders in machine
learning, networking, and systems have formed interdisciplinary teams to
fulfill this mission. If successful, we hope to enable a Fortune 1
million of Internet entrepreneurs.
The RAD Lab involves 7 faculty, 30 graduate students, and a few staff. To increase interdisciplinary interactions, we remodeled the south end of the 4th floor of Soda Hall to create an open collaborative environment. The new space overshot this target, and as we believe it is now accelerating our research.
Our funding comes primarily from industry and state matching programs, with our foundation partners being Google, Microsoft, and Sun Microsystems and with our affiliate members being Fujitsu, HP, IBM, Nortel, and Oracle.
Please come join us in our new lab in 465 Soda for a poster session where we will share with you our work in:
- Conserving energy while improving reliability in the datacenter Using Statistical Machine Learning: Peter Bodik
- The Declarative Data Center - CAD for Data Center Design: Michael Armbrust
- End-to-end path-based analysis of Internet services: George Porter
- Internet service workload generator that learns from proprietary systems: Archana Ganapathi
- Machine Learning in the presence of adversaries: Blaine (“Sleepy”) Nelson
- Efficient detection of network-wide anomalies: Ling Huang & Xuanlong Nguyen
- Datacenter in a box: Zhangxi Tan
- Distributed debugging in a datacenter: Gautam Altekar
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