Downloads provided by UsageCounts
This document describes the components of the 5GCity architecture related to orchestration, service programming, and machine learning as main outcomes of tasks T4.1, T4.2, and T4.3. The overall 5GCity architecture is described in Deliverable D2.2 [1] and based on pilot requirements introduced in Deliverable D2.1 [2]. Our orchestration, service programming, and machine learning components are vital for addressing challenges of state-of-the-art 5G orchestrators and platforms, such as multi-tenancy support and efficient configuration and resource placement.
Orchestrator, 5g
Orchestrator, 5g
| 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 |
| views | 29 | |
| downloads | 12 |

Views provided by UsageCounts
Downloads provided by UsageCounts