About
Laplace's explanation of the special 4:2:1 orbit ratio of Jupiter's 3 innermost Galilean moons, the "Laplace resonance", was assumed by Astronomers for centuries to be a stable phenomenon. However recent observations have shown that the Laplace resonance of the Jovian system is breaking, in part due to tidal forces. The loss of the Laplace resonance will have a profound impact on the Galilean moons including the extinguishing of Io's volcanoes and the freezing of an ocean that has been predicted to exist under the surface of Europa.
In this presentation we use the Jovian Laplace resonance as an example of Big Data problem, more specifically solved using Balanced Computing clusters. Balanced Computing focuses on solving large computational problems requiring a roughly equivalent amount of CPU, memory and I/O. Time allowing, we will talk about Tetration Analytics, another "Big Data" use case using novel sensor technology.
About the speakers
Landon Noll is an Astronomer, Mathematician, Computer Scientist, Inventor and a Principal Engineer at Cisco.
Rene Raeber is a Distinguished Engineer at Cisco, expert in Datacenter Architecture, Application Centric Infrastructure and Tetration Analytics. He is working among others on data processing technologies for the SKA..
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The talk
Credits and licence
- Institution
- CERN
- Department
- CERN Computing Seminar
- Taught by
- Rene Raeber, Landon Noll
- Year
- 2015
- Language
- English
- Subjects
- Computer science
- Source
- CERN
- Licence
- CERN, as CERN states it. CERN's terms
- Attribution
- © CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
- Who can watch
- CERN gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed