We have developed a new approach for reliably multicasting timecritical data to heterogeneous clients over mesh-based overlay networks. To facilitate intelligent content pruning, ...
Abstract. We approach the themes “computing with chaos” and “reservoir computing” in a unified setting. Different neural architectures are mentioned which display chaotic...
Milenko Drinic UCLA Computer Science Dep. 4732 Boelter Hall Los Angeles, CA 90095-1596 milenko@cs.ucla.edu Darko Kirovski Microsoft Research One Microsoft Way Redmond, WA 98052 da...
In this paper we show the power of sampling techniques in designing efficient distributed algorithms. In particular, we show that using sampling techniques, on some networks, sele...
While many public cloud providers offer pay-as-you-go computing, their varying approaches to infrastructure, virtualization, and software services lead to a problem of plenty. To ...
Ang Li, Xiaowei Yang, Srikanth Kandula, Ming Zhang