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These deliverables will contain the main outcomes from M1 to M30 of T6.1-T6.4 due to the high dependency of all the different tasks. It will include the monitoring stack coming from task 6.1 with all the time series data collected as well as the monitoring from the security policies from task 6.4, the set of machine learning algorithms (task 6.2) that comprise the self-learning mechanisms and the self-healing strategies (task 6.3) that trigger an optimized redeployment (see WP5). It will be an iterative process. Each deliverable will comprise a Technical Specification Report.
Monitoring, Forecast, Healing, Security, Availability, Performance
Monitoring, Forecast, Healing, Security, Availability, Performance
citations 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 |
views | 3 | |
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