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Advances in observation instruments and abundance of computational power for simulations encourage scientists to gather and produce unprecedented amounts of increasingly complex data. Organizing data automatically to enable efficient and unobstructed acces ...
The beginning of this millennium has been marked by some remarkable scientific events, notably the completion of the first objective of the Human Genome Project [HGP], i.e., the decoding of the 3 billion bases that compose the human genome. This success ha ...
The impact of Peer-to-Peer (P2P) networks on the Internet landscape is undisputed. It has led to a series of new applications, e.g., as part of the so-called Web 2.0. The shift from the classical client-server based paradigm of the Internet, with a clear d ...
Building good sparse approximations of functions is one of the major themes in approximation theory. When applied to signals, images or any kind of data, it allows to deal with basic building blocks that essentially synthesize all the information at hand. ...
Over the past few years, network management has steadily evolved from a centralized model, where all the management processing takes place on a single network management station, to distributed models, where management is distributed over a number, potenti ...
Distributed stream processing represents a novel computing paradigm where data, sensed externally and possibly preprocessed, is pushed asynchronously to various connected computing devices with heterogeneous capabilities for processing. It enables novel ap ...
