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Lead or attend a BoF! Meet with your peers! Present new work! Don't miss these special activities designed to maximize the value of your time at the conference. The always popular evening Birds-of-a-Feather sessions are very informal gatherings of persons interested in a particular topic.

Vendor BoFs
Want to demonstrate a new product or discuss your company's latest technologies with NSDI '09 attendees? Host a Vendor BoF! These sponsored one-hour sessions give companies a chance to talk about products and proprietary technology—and they include promotional benefits. Email if you're interested in sponsoring a Vendor BoF. Click here for more information about sponsorship opportunities.

Scheduling a BoF
To schedule a BoF, simply write the BoF title as well as your name and affiliation on one of the BoF Boards located in the registration area. If you have a description of our BoF you'd like posted on this Web page, please schedule your BoF on the BoF board, then send its title, the organizer's name and affiliation, and the date, time, and location of the BoF to with "NSDI '09 BoF" in the subject line.

BoF Schedule (as of April 20, 2009)

Wednesday, April 22, 2009
ROOM # of
8:00 p.m.–
9:00 p.m.
9:00 p.m.–
10:00 p.m.
10:00 p.m.–
11:00 p.m.
Arlington 50      
Berkeley 50      
Clarendon 50 Infosys
Vendor BoF


Thursday, April 23, 2009
ROOM # of
7:30 p.m.–
8:30 p.m.
8:30 p.m.–
9:30 p.m.
9:30 p.m.–
10:30 p.m.
10:30 p.m.–
11:30 p.m.
Arlington 50        
Berkeley 50        
Clarendon 50        

BoF Descriptions

Infosys Vendor BoF
Prasad Joshi, Jitendra Pal Theti, and Srinivas Natarajan, Infosys
Wednesday, April 22, 8:00 p.m.–9:00 p.m., Clarendon

Managing and analyzing large amounts of data that often runs into peta-bytes presents a challenge—be it structured data or unstructured data. Emergence of grid enabled data virtualization solutions together with a growing interest in distributed file systems reinforces this. Additionally, we see the emergence of cloud databases that aid in massive scale out of applications. The highlight of the talk will be to explore the key technology dimensions for evaluating the different large scale data management techniques.

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Last changed: 20 April 2009 jp