We introduce a novel framework for simultaneous structure and parameter learning in hidden-variable conditional probability models, based on an entropic prior and a solution for i...
Dataflow programming has proven to be popular for representing applications in rapid prototyping tools for digital signal processing (DSP); however, existing dataflow design tools...
Abstract— The Publish-Subscribe (P/S) communication paradigm fosters high decoupling among distributed components. This facilitates the design of dynamic applications, but also i...
The dynamics of peer participation, or churn, are an inherent property of Peer-to-Peer (P2P) systems and critical for design and evaluation. Accurately characterizing churn requir...
Cluster-based multi-tier systems provide a means for building scalable Internet services. Building adaptive Internet services that are able to apply appropriate system sizing and ...