Experiment Dashboard - a generic, scalable solution for monitoring of the LHC computing activities, distributed sites and services

The Experiment Dashboard system provides common solutions for monitoring job processing, data transfers and site/service usability. Over the last seven years, it proved to play a crucial role in the monitoring of the LHC computing activities, distributed sites and services. It has been one of the key elements during the commissioning of the distributed computing systems of the LHC experiments. The first years of data taking represented a serious test for Experiment Dashboard in terms of functionality, scalability and performance. And given that the usage of the Experiment Dashboard applications has been steadily increasing over time, it can be asserted that all the objectives were fully accomplished.

[1]  Ciprian Dobre,et al.  MonALISA: An agent based, dynamic service system to monitor, control and optimize distributed systems , 2009, Comput. Phys. Commun..

[2]  Vibhuti Duggal,et al.  Service Availability Monitoring Framework Based On Commodity Software , 2012 .

[3]  T Maeno,et al.  PanDA: distributed production and distributed analysis system for ATLAS , 2008 .

[4]  L Sargsyan,et al.  Experiment Dashboard for Monitoring of the LHC Distributed Computing Systems , 2011 .

[5]  J Andreeva,et al.  Providing global WLCG transfer monitoring , 2012 .

[6]  Pablo Saiz,et al.  New solutions for large scale functional tests in the WLCG infrastructure with SAM/Nagios: the experiments experience , 2012 .

[7]  J Andreeva,et al.  Designing and developing portable large-scale JavaScript web applications within the Experiment Dashboard framework , 2012 .

[8]  L Sargsyan,et al.  hBrowse - Generic framework for hierarchical data visualization , 2012 .

[9]  James Casey,et al.  Monitoring the efficiency of user jobs , 2010 .

[10]  L Sargsyan,et al.  ATLAS job monitoring in the Dashboard Framework , 2012 .

[11]  Benjamin Gaidioz,et al.  CMS Dashboard Task Monitoring: A user-centric monitoring view , 2010 .

[12]  Jean-Philippe Baud,et al.  Data Management in EGEE , 2010 .

[13]  Edward Karavakis,et al.  Implementing data placement strategies for the CMS experiment based on a popularity model , 2012 .

[14]  Johannes Elmsheuser,et al.  Key developments of the Ganga task-management framework , 2012 .