Job monitoring and steering in D-Grid's High Energy Physics Community Grid

Authors:
D. Lorenz;S. Borovac;P. Buchholz;H. Eichenhardt;T. Harenberg;P. Mättig;M. Mechtel;R. Müller-Pfefferkorn;R. Neumann;K. Reeves;Ch. Uebing;W. Walkowiak;Th. William;R. Wismüller
Affiliations:
University of Siegen, Germany;Bergische Universität Wuppertal, Germany;University of Siegen, Germany;Technische Universität Dresden, Germany;Bergische Universität Wuppertal, Germany;Bergische Universität Wuppertal, Germany;Bergische Universität Wuppertal, Germany;Technische Universität Dresden, Germany;Technische Universität Dresden, Germany;Bergische Universität Wuppertal, Germany;University of Siegen, Germany;University of Siegen, Germany;Technische Universität Dresden, Germany;University of Siegen, Germany
Venue:
Future Generation Computer Systems
Year:
2009

Citing 8
Cited 4

VASE: the visualization and application steering environment

Proceedings of the 1993 ACM/IEEE conference on Supercomputing
An object-based infrastructure for program monitoring and steering

SPDT '98 Proceedings of the SIGMETRICS symposium on Parallel and distributed tools
High Performance Computational Steering of Physical Simulations

IPPS '97 Proceedings of the 11th International Symposium on Parallel Processing
G-Monitor: A Web Portal for Monitoring and Steering Application Execution on Global Grids

CLADE '03 Proceedings of the 1st International Workshop on Challenges of Large Applications in Distributed Environments
GridSphere: a portal framework for building collaborations: Research Articles

Concurrency and Computation: Practice & Experience - Middleware for Grid Computing
GridICE: a monitoring service for Grid systems

Future Generation Computer Systems - Special issue: High-speed networks and services for data-intensive grids: The DataTAG project
Secure Communication for Computational Steering of Grid Jobs

PDP '08 Proceedings of the 16th Euromicro Conference on Parallel, Distributed and Network-Based Processing (PDP 2008)
Fault tolerance in the R-GMA information and monitoring system

EGC'05 Proceedings of the 2005 European conference on Advances in Grid Computing

Steering of sequential jobs with a distributed shared memory based model for online steering

Future Generation Computer Systems
Monitoring and steering Grid applications with GRID superscalar

Future Generation Computer Systems
Two experiments with application-level quality of service on the EGEE grid

Proceedings of the 2nd workshop on Grids meets autonomic computing
Toward dynamic and attribute based publication, discovery and selection for cloud computing

Future Generation Computer Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

In the High Energy Physics Comunity Grid (HEPCG) of Germany's D-Grid initiative, a suite of tools supporting the user in monitoring his jobs was developed. In the HEP community many users submit large numbers of jobs. A considerable fraction of these jobs fail for various reasons. Until now, it has been hard or even impossible for the user to find the reason for the job failure. The AMon tool supports the user with a graphical web-based overview on status and resource usage of his jobs. The script wrapper JEM (Job Execution Monitor) monitors a job's environment giving detailed information about the job execution. Finally, once the job itself is running, a computational steering tool allows the user to interact with his job at runtime, to visualize intermediate results, and to modify job parameters.