A History of Exchange-Rate Regimes, here.
Nick McKeown, Inside HPC, Video: How SDNs Will Tame Networks, here. I like this idea of compiling down to the network.
Networks are notoriously hard to debug. Today, we only have a rudimentary set of tools available, such as ping, traceroute, tcpdump, and netflow. These tools try to reconstruct the distributed state of the network in an ad-hoc fashion, while the state is being constantly changed by a variety of complex distributed protocols. Software-Defined Networks (SDNs) make it possible – for the first time – to verify, validate, and even prove that the network is behaving correctly. SDN provides the opportunity to rethink how we write network control programs, from the development of control programs all the way to their deployment in production networks.
Turing’s Invisible Hand, CMU Summer School Recap, Part 1 (Yariv and Tardos), here.
Earlier this month, my co-blogger Ariel and I ran a summer school on algorithmic economics . In my highly biased opinion, it was a lot of fun and a big success. For those of you who couldn’t make it, videos will be posted on the summer school site in the near future. The abstracts there should give you a quick idea for the topics covered by the nine speakers. In a series of posts, I’ll discuss the talk content in a bit more detail. I hope that some of the students who participated in the school discuss their own experiences in the comments. Having now met all of them, I can confidently say that the future of algorithmic game theory/economics is in good hands!