The fluid database paradigm: a prototype
February 06, 2017
April 19, 2017
The process of event-building---i.e gathering and associating data from multiple sensors or sub-detectors that arises from a common physical event---is used in many fields, including high-energy physics and gamma-ray astronomy. The problem of fault tolerance in event-building is a difficult one, and one that becomes increasingly difficult with higher data throughput rates and increasing numbers of sub-detectors. We draw on biological self-assembly models in the development of a novel event-building paradigm that treats each packet of data from an individual sensor or sub-detector as if it were a molecule in solution. Bonds (analogous to chemical bonds) are defined between data packets using metadata-based discriminants. A database, which plays the role of a beaker of solution, quasi-randomly and continually selects pairs of assemblies to test for bonds, allowing single tiles and small assemblies to aggregate into larger assemblies. During this process higher-quality associations supersede spurious ones. The database thereby becomes fluid, dynamic, and self-annealing rather than static. We will describe lessons learned from early prototypes of the fluid database as well as future directions.
How to cite
Metadata are provided both in "article" format (very similar to INSPIRE) as this helps creating
very compact bibliographies which can be beneficial to authors and
readers, and in "proceeding" format
which is more detailed and complete.