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Introduction Big data is a reality scientists face every day. Especially now that CERN projects and collaborations have become Global. The Worldwide LHC Computing Grid processes petabytes of data connecting over 200 active sites in more than 42 countries. It forms the backbone for the data analytics and high processing computing possible through these sites. Therefore, a reliable Grid means reliable operations at collaborating projects, partner companies, institutes and universities. Therefore, it is necessary to have a reliable tool for monitoring and visualizing various performance metrics and other relevant data about the grid. That’s where EGL or Explorer of the Grid Load comes into the picture.
CERN openlab summer student
CERN openlab summer student
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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