Virtual vpn in the cloud

 
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Portability
According to the ETSI document, when talking about software-based 
implementations of VPNs in virtualized environment on general-purpose hardware, the 
capability of shifting, configuring and executing of VPN based VNFs across different 
vendors but standard hypervisor environments, standard experimental infrastructures such as 
deployment in XIFI are to be attained [44].
In this research, portability of VPN solution is achieved by executing the same 
procedural model on various architectures. It has been achieved across the FIWARE 
federated cloud as well as on VMware hypervisor. Thus achieving portability across various 
hypervisors and experimental platforms considered to be an important aspect in Virtualizing 
Virtual Private Networks.
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Service stability and continuity 
In addition to portability as mentioned in the NFV virtualization requirements, 
establishing and ensuring service stability and continuity is yet another important factor for 
virtualizing VPNs, specifically when re-locating or re-configuring the software-based 
implementations in the virtualized environment [44].
The maximum and minimum values of attainable throughput, recorded packet loss 
ratio, latency variations are specified in this research as the key performance indicators to 
ensure service continuity across the network. Packet loss is maintained less than 1%, to 
ensure network stability [45]. 
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Security 
In this report, the security issue is governed through the implementation of various 
encryption and hashing algorithms. Since security is of prime importance when deploying 
VPNs as a Virtualized Network Function, requirements are to be made to ensure data 
integrity; confidentiality and authenticity are not compromised.
 
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Operational requirements 
The responsibility of instantiation, allocation, re-allocation and termination of VPN 
resources are important operational requirements that virtualized environments provide to 
cloud tenants according to the ETSI norms [44].
The resource allocation metrics like VM provisioning latency, VM Failure Ratio and 
VPN service operational time are measured and analyzed in the current research. These 

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measurements exhibit the speed and reliability of resource allocation across different 
geographical locations. Thus it is necessary to accommodate similar VMs that can be run on 
the same hypervisor platform with minimal performance degradation operating on the same 
compute nodes.