• Aucun résultat trouvé

Composing data and control functions to ease virtual networks programmability

N/A
N/A
Protected

Academic year: 2021

Partager "Composing data and control functions to ease virtual networks programmability"

Copied!
8
0
0

Texte intégral

Loading

Figure

Fig. 1. AirNet’s key primitives
Fig. 4. Processing incoming packets for network functions
Fig. 7. Target physical infrastructure def fabric_policy(self): t1 = catch(fabric="Fab", src="IO", flow="in_web_flows") >> carry("LB") t2 = catch(fabric="Fab", src="LB", flow="out_web_flows") &g

Références

Documents relatifs

In the VNF placement problem the input consists of Service Function Chains (SFC) consisting of a variable number of VNFs, whereas the substrate network, called Network Func-

The Frontend is designed to give the best possible command specification response to the user by breaking the command recognition functions away from the

These considerations underpinned the original design of the 5D model, which was constructed as a cultural microsystem that arises out of the appropriation of certain artefacts

In this context, since a virtual operator may have established contracts with a num- ber of traditional operators providing network capacity with different characteristics such

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des

The policy-based solutions parameterize the policy function directly by a neural architecture and try to find the optimal policy using gradient ascent, while the value-based

The arrival process of class 1 requests is assumed to be Poisson with rate λ 1. The holding time of resources is assumed to be exponential with mean 1/µ 1. We assume that the

1) Root cause localization in anomalous VMs: For each detection-VM, four models are trained to classify SLAVs caused by a heavy workload, injections in Sprout, Bono and