The workflow models have been essentially operation-centric for many years, ignoring almost completely the data aspects. Recently, a new paradigm of data-centric workflows, call...
Bogdan Marinoiu, Serge Abiteboul, Pierre Bourhis, ...
Large-scale applications require the efficient exchange of data across their distributed components, including data from heterogeneous sources and to widely varying clients. Inher...
Decision-support requires the gathering and presentation of information, but is subject to many kinds of resource restrictions (e.g. cost, length, time). Individual users differ n...
This paper describes PRISM, a distributed sharedmemory architecture that relies on a tightly integrated hardware and operating system design for scalable and reliable performance....
We present an approach for recognition and clustering of spatio temporal patterns based on networks of spiking neurons with active dendrites and dynamic synapses. We introduce a n...