de
en
Schliessen
Detailsuche
Bibliotheken
Projekt
Impressum
Datenschutz
de
en
Schliessen
Impressum
Datenschutz
zum Inhalt
Detailsuche
Schnellsuche:
OK
Ergebnisliste
Titel
Titel
Inhalt
Inhalt
Seite
Seite
Im Dokument suchen
Applying live job monitoring techniques to Monte Carlo validation / by Frank Volkmer. Wuppertal, November 19, 2016
Inhalt
Danksagung
Outline of this Thesis
Primer: Experimenting in High Energy Particle Physics
Introduction
The Standard Model
Particles
Forces / Interactions
Mass
Open questions
LHC and Atlas
The Large Hadron Collider
The ATLAS Experiment
The LHC computing environment
Grid Computing
Worldwide LHC Computing Grid
ATLAS Computing
Mass production in ATLAS
Evolution of ATLAS Grid Computing
JEM
Introduction
Why is JEM necessary?
JEM overview
JEM architecture
JEM Use Cases
History of JEM
Recent JEM improvements
JEM web front end
MemcacheD
JEM overhead measurements
SecurityService
Analyzing backtraces over the Grid
Introduction
Motivation
Logfile inspection
LogFileSaver
Online log file analysis
Inspecting stack traces from payload jobs
GDB Python interface
The BacktraceMonitor WN Module
The GdbBackTraceScript
Analytical front-end
Discussion
Future prospects
Live Monte Carlo Validation
Introduction
System overview
Motivation
Necessity to validate Monte Carlo software
Online validation procedures
ATLAS Monte Carlo validation group
Activation Service
Motivation
The JEMstub pilot module
Activation Service web front-end
Rule based request evaluation
ActSvcRuleEvaluater
Requesting JEM for specific tasks
Requesting JEM for validation tasks by matching criteria
Summary
Task validation operations
Motivation
Use of external software
Instrumenting validation jobs with JEM
Server side actions
Presenting results
Direct reference file comparison
Summary
Reference file cache
Motivation
Metadata
Reference file generation
Summary
Web interface for validation control
Motivation for an external control interface
Live Monte Carlo Validation control
Task progress overviews
Summary
Operational Experience
Successful validations
Validation shifter experience
JEM operator experience
Future technical advances
Current technical limitations
Adding further Monte Carlo stages
Possible alternative solutions
Automatic quality histogram creation
Automated Grid validation
Dedicated validation cluster
Worker node based validation evaluation
Summary & Outlook
Summary
Outlook
Appendices
Code listings
Flow diagrams / state machines
Acronyms
D. List of Listings
E. List of Tables
F. List of Figures
G. Bibliography