Abstract— Distributed stream processing systems offer a highly scalable and dynamically configurable platform for time-critical applications ranging from real-time, exploratory ...
Lisa Amini, Navendu Jain, Anshul Sehgal, Jeremy Si...
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Many parallel systems offer a simple view of memory: all storage cells are addresseduniformly. Despite a uniform view of the memory, the machines differsignificantly in theirmemo...
This is a demonstration of data coordination in a peer data management system through the employment of distributed triggers. The latter express in a declarative manner individual...
Abstract--Transactional Memory (TM) is an emerging technology which promises to make parallel programming easier. However, to be efficient, underlying TM system should protect only...