Title :
Open science, open security
Author :
Campbell, Stuart
Author_Institution :
Nat. Energy Res. Sci. Comput. Center, Lawrence Berkeley Nat. Lab., Berkeley, CA, USA
Abstract :
We propose that to address the growing problems with complexity and data volumes in HPC security wee need to refactor how we look at data by creating tools that not only select data, but analyze and represent it in a manner well suited for intuitive analysis. We propose a set of rules describing what this means, and provide a number of production quality tools that represent our current best effort in implementing these ideas.
Keywords :
data analysis; parallel processing; security of data; HPC security; data analysis; data representation; data selection; high performance computing; open science; open security; production quality tools; Buildings; Computer architecture; Filtering; Linux; Materials; Production; Security; High Performance Computing; Intrusion Detection; Security;
Conference_Titel :
High Performance Computing & Simulation (HPCS), 2014 International Conference on
Conference_Location :
Bologna
Print_ISBN :
978-1-4799-5312-7
DOI :
10.1109/HPCSim.2014.6903739
