This work addresses the need for stateful dataflow programs that can rapidly sift through huge, evolving data sets. These data-intensive applications perform complex multi-step c...
Dionysios Logothetis, Christopher Olston, Benjamin...
Abstract. We give randomized agreement algorithms with constant expected running time in asynchronous systems subject to process failures, where up to a minority of processes may f...
This paper studies system identification of ARMA models whose outputs are subject to finite-level quantization and random packet dropouts. A simple adaptive quantizer and the co...
This paper presents the design and the performance evaluation of a coarse-grain dynamically reconfigurable platform for network applications. The platform consists of two MicroBla...
This paperpresentsa novel framework for streamingvideo over a Differentiated Services (DifPjew) network that jointly considers video source coding. packet classification and error...
Fan Zhai, Yiftach Eisenberg, Carlos E. Luna, Thras...