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Various fully distributed job submission methods and execution back-ends are used within both the ATLAS and CMS Virtual Organisations (VOs).More than 600,000 ATLAS and 400,000 CMS jobs are submitted daily to the Worldwide LHC Computing Grid (WLCG) and are processed on different middleware platforms.The LHC job processing activity is mainly divided into two categories: the processing of large scale Monte-Carlo production and data reconstruction jobs, and user analysis jobs.The main difference between these categories is that the former is a well-organised activity performed by a group of experts, while the latter is chaotic analysis processing by diverse and geographically widespread members of the physics community.The behaviour of analysis jobs is particularly difficult to predict as it is normally carried out by users who are not necessarily experienced in using the Grid.All of these factors increase the complexity of monitoring the job processing activities within these VOs.While most of the existing monitoring applications are coupled to a specific Workload Management System (WMS), the Experiment Dashboard user-centric monitoring applications support different middleware implementations and job submission systems.The development of these applications was user driven with physicists invited to test the prototype versions in order to assemble further requirements and identify weaknesses with the applications.
Karavakis et al. (Tue,) studied this question.