MapReduce has recently gained a lot of attention as a parallel programming model for scalable data-intensive business and scientific analysis. In order to benefit from this powerf...
Programmers build large-scale systems with multiple languages to reuse legacy code and leverage languages best suited to their problems. For instance, the same program may use Jav...
Byeongcheol Lee, Martin Hirzel, Robert Grimm, Kath...
We investigate the price of selfish routing in non-cooperative networks in terms of the coordination and bicriteria ratios in the recently introduced game theoretic network model ...
Spyware infections are becoming extremely pervasive, posing a grave threat to Internet users’ privacy. Control of such an epidemic is increasingly difficult for the existing def...
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...