.png){kind=icon}
Return
High Availability Deployment of Virtual Network Function Forwarding Graph in Cloud Computing Environments
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2021.3068342.png)
.png){kind=icon}
.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Network Function Virtualization (NFV) stands out quickly as a promising innovation in telecommunication networks. It leverages the concept of cloud technology and virtualization techniques. However, the continuity of cloud network services has become an essential availability requirement for NFV. Failure of Virtual Network Functions (VNFs) may cause critical quality assurance problems for such network services. VNF chaining and placement can be considered as the VNF Forwarding Graph (VNF-FG) mapped on a cloud provider infrastructure, also called NFV Infrastructure (NFVI). This mapping is addressed while neglecting the massive link utilization and bandwidth consumption that can be encountered during VNF recovery phase. In this paper, an Integer Linear Programming (ILP) approach is developed to model VNF-FG deployment problem while guaranteeing high availability against node/VM failures. Then, the Redundant VNF-FG Deployment (RVNF-FGD) heuristic algorithm is proposed that takes VNF migration into consideration. RVNF-FGD algorithm attempts to find a near-optimal solution that achieves a trade-off between availability and scalability with a reasonable convergence time. Thus, facilitating the practical deployment of the proposed approach. Simulation results confirm that RVNF-FGD algorithm is capable of simultaneously reducing link utilization and bandwidth consumption across the core layer of the cloud network. In addition, it reduces VNF-FG communication cost and overall energy consumption. The convergence time of RVNF-FGD algorithm is assessed by applying it to broader cloud network architectures. This assessment indicates the viability of the proposed approach in responding quickly to failures.
Keywords:
Cloud computing
Heuristic algorithms
Bandwidth
Network function virtualization
Energy consumption
Resource management
Licenses
Network function virtualization (NFV)
network function virtualization infrastructure (NFVI)
software-defined networking (SDN)
virtual network function (VNF)
virtual network function forwarding graph (VNF-FG)
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
3.6
Papers:
9.8W
Citations:
29.4W
Organization
Cited Papers
ShareSaveInsights into Nucleotide Signal Transduction in Nitrogenase: Structure of an Iron Protein with MgADP Bound,.png)
Biochemistry
BiochemistryIF0
PREAI
ShareSaveShareSaveStudies on homo-trinuclear complexes of Mn(II), Co(II) and Ni(II) with a nonadentate ligandPolyhedron
PolyhedronIF0
PREAI
ShareSaveShareSave
ShareSaveVirtual Network Function Placement for Service Chaining by Relaxing Visit Order and Non-Loop ConstraintsIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAIShareSaveJoint Optimization of Service Function Chaining and Resource Allocation in Network Function VirtualizationIEEE ACCESSOAAI
IEEE ACCESSIF3.6
OAAIShareSave
View more