Abstract

A management and orchestration framework (MANO) in network function virtualization (NFV) enables the agile deployment and operation of virtual network functions over a geographically distributed cloud infrastructure. This facilitates the deployment of redundancy models (i.e., high availability clusters) over different cloud centers, to guarantee the high availability of network services. In particular, in the telecommunications field, availability and resiliency are always required at a high level. Existing placement algorithms only consider one type of redundancy model at a given time. However, in reality, different redundancy configurations can be utilized to ensure the availability of virtual functions. In this article, we present an optimization model and topology-aware resource-efficient placement algorithm (TARE), which can be employed to optimally deploy high availability clusters with different redundancy configurations over geo-distributed cloud infrastructures. This model takes into account the different requirements of various high availability clusters in terms of bandwidth and computing resource demands. By simulation, the TARE has better performance than other baseline solutions in terms of the bandwidth usage, while maintaining an acceptable level of availability.

Highlights

  • Virtual network functions (VNF) [1], which are created by a management and orchestration framework (MANO) [2] over a network function virtualization infrastructure (NFVI) [3], provide a high level of automation and cost reduction

  • RELATED WORKS we present a summary of related works and background knowledge in the area of VNF placement over geo-distributed cloud infrastructure

  • AVAILABILITY CALCULATION When a high availability cluster request is deployed over a geo-distributed cloud infrastructure, the availability of network service provided by the active VNFs, depends on the number of active and standby VNFs in the cluster request, and on the availability of cloud centers where the VNFs in the cluster request are deployed and the availability of virtual links among the VNFs

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Summary

INTRODUCTION

Virtual network functions (VNF) [1], which are created by a management and orchestration framework (MANO) [2] over a network function virtualization infrastructure (NFVI) [3], provide a high level of automation and cost reduction. Some studies have focused on determining the optimal number of standby functions and their locations to ensure that the availability value is not below a given threshold These studies have attempted to design high availability clusters and place these clusters to satisfy a specific availability level, without considering the network bandwidth and computing resource demands for different redundancy models. Our work considers two aspects concurrently: resource demands for different cluster requests and their availability level requirements To solve this model, we first propose some baseline solutions, called greedy reliable placement, combined with shortest path routing. B. AVAILABILITY-UNAWARE VNF PLACEMENT WITH REDUNDANCY In [14], the authors attempted to place standby VMs over a tree topology-based cloud center, and to minimize the reserved network bandwidth in the case of active VM failure. These related works did not provide any methods to estimate the availability of system

RELATED WORKS
AVAILABILITY CALCULATION
PROBLEM FORMULATION
HEURISTIC ALGORITHMS
GREEDY RELIABLE HEURISTICS
32: Finish
TOPOLOGY-AWARE RESOURCE-EFFICIENT HEURISTIC
14: Finish
25: Output: shortestTree
21: Finish
CONCLUSIONS

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