Optimizing large sensor data filtering, networking and computing
Prelegent: Prof. UAM dr hab. Joanna Berlińska (Pracownia Algorytmiki)
Data i godzina: 12 listopada 2024 r., g. 11:00
Streszczenie: We consider filtering and processing large data streams in intelligent data acquisition systems. It is assumed that raw data arrives in discrete events from a single expensive sensor. Not all raw data, however, comprises records of interesting events and hence some part of the input can be filtered out. The intensity of filtering is an important design choice because it determines the complexity of filtering hardware and software, and the amount of data that must be transferred to the following processing stages. We analyze the optimum intensity of filtering and its relationship with the capacity of the following processing stages. A set of generic filtering intensity, data transfer, and processing archetypes are modeled and evaluated.