Cargando…

HappyFace as a monitoring tool for the ATLAS experiment

The importance of monitoring on HEP grid computing systems is growing due to a significant increase in their complexity. Computer scientists and administrators have been studying and building effective ways to gather information on and clarify a status of each local grid infrastructure. The HappyFac...

Descripción completa

Detalles Bibliográficos
Autor principal: Musheghyan, Haykuhi
Lenguaje:eng
Publicado: 2016
Materias:
Acceso en línea:http://cds.cern.ch/record/2226847
_version_ 1780952429366345728
author Musheghyan, Haykuhi
author_facet Musheghyan, Haykuhi
author_sort Musheghyan, Haykuhi
collection CERN
description The importance of monitoring on HEP grid computing systems is growing due to a significant increase in their complexity. Computer scientists and administrators have been studying and building effective ways to gather information on and clarify a status of each local grid infrastructure. The HappyFace project aims at making the above-mentioned workflow possible. It aggregates, processes and stores the informa- tion and the status of different HEP monitoring resources into the common database of HappyFace. The system displays the information and the status through a single interface. However, this model of HappyFace relied on the monitoring resources which are al- ways under development in the HEP experiments. Consequently, HappyFace needed to have direct access methods to the grid application and grid service layers in the dif- ferent HEP grid systems. To cope with this issue, we use a reliable HEP software repos- itory, the CernVM File System. We propose a new implementation and an architecture of HappyFace, the so-called grid-enabled HappyFace. It allows its basic framework to connect directly to the grid user applications and the grid collective services, without involving the monitoring resources in the HEP grid systems. This approach gives HappyFace several advantages: Portability, to provide an in- dependent and generic monitoring system among the HEP grid systems; Functionality, to allow users to perform various diagnostic tools in the individual HEP grid systems and grid sites; Flexibility, to make HappyFace beneficial and open for the various dis- tributed grid computing environments. Different grid-enabled modules, to show all current datasets on a given storage disk and to check the performance of grid transfers among the grid sites, have been implemented. The new HappyFace system has been successfully integrated and now it displays the information and the status of both the monitoring resources and the direct access to the grid user applications and the grid collective services.
id cern-2226847
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2016
record_format invenio
spelling cern-22268472019-09-30T06:29:59Zhttp://cds.cern.ch/record/2226847engMusheghyan, HaykuhiHappyFace as a monitoring tool for the ATLAS experimentComputing and ComputersThe importance of monitoring on HEP grid computing systems is growing due to a significant increase in their complexity. Computer scientists and administrators have been studying and building effective ways to gather information on and clarify a status of each local grid infrastructure. The HappyFace project aims at making the above-mentioned workflow possible. It aggregates, processes and stores the informa- tion and the status of different HEP monitoring resources into the common database of HappyFace. The system displays the information and the status through a single interface. However, this model of HappyFace relied on the monitoring resources which are al- ways under development in the HEP experiments. Consequently, HappyFace needed to have direct access methods to the grid application and grid service layers in the dif- ferent HEP grid systems. To cope with this issue, we use a reliable HEP software repos- itory, the CernVM File System. We propose a new implementation and an architecture of HappyFace, the so-called grid-enabled HappyFace. It allows its basic framework to connect directly to the grid user applications and the grid collective services, without involving the monitoring resources in the HEP grid systems. This approach gives HappyFace several advantages: Portability, to provide an in- dependent and generic monitoring system among the HEP grid systems; Functionality, to allow users to perform various diagnostic tools in the individual HEP grid systems and grid sites; Flexibility, to make HappyFace beneficial and open for the various dis- tributed grid computing environments. Different grid-enabled modules, to show all current datasets on a given storage disk and to check the performance of grid transfers among the grid sites, have been implemented. The new HappyFace system has been successfully integrated and now it displays the information and the status of both the monitoring resources and the direct access to the grid user applications and the grid collective services.CERN-THESIS-2016-130II.Physik-UniGö-Diss-2016/04oai:cds.cern.ch:22268472016-10-23T22:04:45Z
spellingShingle Computing and Computers
Musheghyan, Haykuhi
HappyFace as a monitoring tool for the ATLAS experiment
title HappyFace as a monitoring tool for the ATLAS experiment
title_full HappyFace as a monitoring tool for the ATLAS experiment
title_fullStr HappyFace as a monitoring tool for the ATLAS experiment
title_full_unstemmed HappyFace as a monitoring tool for the ATLAS experiment
title_short HappyFace as a monitoring tool for the ATLAS experiment
title_sort happyface as a monitoring tool for the atlas experiment
topic Computing and Computers
url http://cds.cern.ch/record/2226847
work_keys_str_mv AT musheghyanhaykuhi happyfaceasamonitoringtoolfortheatlasexperiment