Led by Professor Baochun Li, we are a small research team interested in exploring our limits as we investigate interesting problems in the area of large-scale networked systems, including cloud computing, peer-to-peer, and wireless systems with mobile devices. We are located in the Department of Electrical and Computer Engineering at the University of Toronto. Our group logo represents (guess what?) a Möbius Strip, and blue is our colour (as in “aqua”).
Contact us if you are eager to chat about research, or life as a Torontonian in general.
We maintain a small library of interesting books in the group, so that every team member may benefit from reading them (and not having to wait for returns or return for reserves in the libraries around campus). Take a quick tour in our list of books.
Since we live and breathe paper deadlines, we are proud of our lab space. Our little corner in the Bahen Centre of Information Technology (Bahen 4176) hosts ten cubicle spaces for the team, complete with a fridge, a bookshelf, a projector screen, and perhaps more importantly, two leather sofas.
We love our computers, too. In our lab, we have one eight-core Intel Xeon 2.8 GHz Mac Pro, two iMac Intel Core Duo computers, three Macbook Pros, six Macbook Airs, and six 27″ Apple Cinema Displays. Since we have big plans for experiments, we run them on servers. Our servers (in dedicated server rooms, of course) include a high-performance computing cluster, with two racks, three switches, a KVM console, 54 dual-CPU servers, and 20 quad-CPU servers. Our eight-core Mac Pro is used as our web server, open directory server, mail server, VPN server, as well as file server. It currently runs Mac OS X Snow Leopard Server. In our internal web site, we take full advantage of the latest Wiki and blog technologies using Web 2.0, with extensive tagging and search abilities.
Combined, our computing facilities allow us to try things to our heart’s content, without worrying about the lack of resources. As you can see, we are a Mac-centric group when it comes to day-to-day computing, but we strive to develop cross-platform code that runs equally well on Linux, Windows, and of course, the Mac.