Project deliverable Open Access
Orchestrator design, service programming and machine learning models ((D4.1)
Khalili, Hazmeh; Papageorgiou; Siddiqui, Shuaib; Barrera, Julio; Huici, Felipe; Yasukata, Kenichi; Ciulli, Nicola; Cruschelli, Paolo; Kraja, Elian; Francesconi, Elio; Preto, Ricardo; Albanese, Antonino; Costa, Viscardo; Colman, Carlos; Baldoni, Gabrielle; Sechkova, Teodora; Paolino, Michele
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.
| Name | Size | |
|---|---|---|
|
D4.1_Orchestrator design, service programming1.0.pdf
md5:3a341bc0f2c60a7e75bfcc97b0b38c06 |
4.1 MB | Download |
| All versions | This version | |
|---|---|---|
| Views | 221 | 222 |
| Downloads | 205 | 205 |
| Data volume | 850.1 MB | 850.1 MB |
| Unique views | 209 | 210 |
| Unique downloads | 190 | 190 |
- Publication date:
- February 6, 2019
- DOI:
-
- Keyword(s):
- 5g Orchestrator
- Grants:
-
European Commission:
- 5GCITY - 5GCITY (761508)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International