Worldwide Gathering & Analysis of Large-Scale Measurement Data PresentationJohn McCarthy Stage
“Einreichung vorbehaltlich Freigabe durch Daimler AG und T-Systems International GmbH“ In this session, we will sketch a new edge computing scheme for dealing with exabytes of measurement data collected in the most remote and inhospitable areas of the world. The proposed scheme builds on two pillars. First, it consists of a so-called “meta-cluster” architecture in which secure micro-data-centers are federated via an ubiquitous cloud backbone. Secondly, our scheme employs a dedicated and patent-pending signal processing software stack which is able to move the transformational specifications from the expert’s desk to the globally-distributed computation and storage devices as well as to re-integrate the measurement excerpts back for interactive discovery. The presented edge computing scheme for measurement data is successfully implemented by the ambitious Daimler project “Big Data for Endurance Testing”, a future-proof analysis and reporting platform for endurance testing with 23 sites around the world.