To process large amounts of data produced at the Large Hadron Col-lider at CERN, users typically submit hundreds or thousands of jobs. This requires that users can keep track of their single jobs. In this pa-per, we present a user-centric system to monitor jobs, i.e. to monitor their execution and their resource usage within such a scenario. The system supports users with useful monitoring information, interactive visualisations and helps them to nd the reasons for job failures.
GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent...
In high energy physics (HEP) event simulations,petabytes of data are processed and stored requiring ...
The Experiment Dashboard system provides common solutions for monitoring job processing, data transf...
Processing of large data sets with high through put is one of the major focus of Grid computing toda...
hsnr.de physik.uni-wuppertal.de Experience with generating simulation data of high energy physics ex...
large scale computing grid LCG (LHC Computing Grid) is meant to process and store the large amount o...
The phase 1 of the LHCb Data Challenge 04[1] includes the simulation of 200 million simulated events...
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments a...
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments a...
The Job Execution Monitor (JEM) is a job-centric grid job monitoring software developed at the Unive...
In a wide-area distributed and heterogeneous grid environment, monitoring plays an important and cru...
The organization of the distributed user analysis on the Worldwide LHC Computing Grid (WLCG) infrast...
International audienceTo take advantage of the computing power offered by grid and opportunistic res...
The management of Grid systems commonly lacks information for identifying the failures that may hind...
The rising number of executed programs (jobs) enabled by the growing amount of available resources f...
GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent...
In high energy physics (HEP) event simulations,petabytes of data are processed and stored requiring ...
The Experiment Dashboard system provides common solutions for monitoring job processing, data transf...
Processing of large data sets with high through put is one of the major focus of Grid computing toda...
hsnr.de physik.uni-wuppertal.de Experience with generating simulation data of high energy physics ex...
large scale computing grid LCG (LHC Computing Grid) is meant to process and store the large amount o...
The phase 1 of the LHCb Data Challenge 04[1] includes the simulation of 200 million simulated events...
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments a...
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments a...
The Job Execution Monitor (JEM) is a job-centric grid job monitoring software developed at the Unive...
In a wide-area distributed and heterogeneous grid environment, monitoring plays an important and cru...
The organization of the distributed user analysis on the Worldwide LHC Computing Grid (WLCG) infrast...
International audienceTo take advantage of the computing power offered by grid and opportunistic res...
The management of Grid systems commonly lacks information for identifying the failures that may hind...
The rising number of executed programs (jobs) enabled by the growing amount of available resources f...
GANGA (http://cern.ch/ganga) is a job-management tool that offers a simple, efficient and consistent...
In high energy physics (HEP) event simulations,petabytes of data are processed and stored requiring ...
The Experiment Dashboard system provides common solutions for monitoring job processing, data transf...