Definition and Evaluation of Cold Migration Policies for the Minimization of the Energy Consumption in NFV Architectures

Eramo, V.; Lavacca, Francesco G.

doi:10.1007/978-3-319-67639-5_5

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…In these cases the proposed solutions have to take into account the network reconfiguration costs [20], [21] needed to change the routing of the SFC, the number of VNFIs activated and the servers in which the VNFIs are hosted. The reconfiguration costs can be characterized by the QoS degradation [11] and/or the energy consumption [12], [22] occurring during the migration of a VNFI, the deployment cost charged by the cloud provider to upload the VNF software into the Virtual Machine [21] and so on.…”

Section: Introductionmentioning

confidence: 99%

Optimizing the Cloud Resources, Bandwidth and Deployment Costs in Multi-Providers Network Function Virtualization Environment

Eramo

Lavacca

2019

IEEE Access

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The introduction of network function virtualization (NFV) leads to a new business model in which the Telecommunication Service Provider needs to rent cloud resources to infrastructure provider (InP) at prices as low as possible. Lowest prices can be achieved if the cloud resources can be rented in advance by allocating long-term virtual machines (VM). This is in contrast with the short-term VMs that are rented on demand and have higher costs. For this reason, we propose a proactive solution in which the cloud resource rent is planned in advance based on peak traffic knowledge. We illustrate the problem of determining the cloud resources in cloud infrastructures managed by different InPs and so as to minimize the sum of cloud resource, bandwidth and deployment costs. We formulate an integer linear problem (ILP) and due to its complexity, we introduce an efficient heuristic approach allowing for a remarkable computational complexity reduction. We compare our solution to a reactive solution in which the cloud resources are rented on demand and dimensioned according to the current traffic. Though the proposed proactive solution needs more cloud and bandwidth resources due to its peak allocation, its total resources cost may be lower than the one achieved when a reactive solution is applied. That is a consequence of the higher cost of short-term VMs. For instance, when a reactive solution is applied with traffic variation times of ten minutes, our proactive solution allows for lower total costs when the long-term VM rent is lower than the short-term VM one by 33%.INDEX TERMS Network function virtualization, cloud infrastructure, short-term virtual machine, Viterbi algorithm.

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Section: Introductionmentioning

confidence: 99%

Optimizing the Cloud Resources, Bandwidth and Deployment Costs in Multi-Providers Network Function Virtualization Environment

Eramo

Lavacca

2019

IEEE Access

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Algorithms for functionalities of virtual network: a survey

Umrao

Yadav

2021

J Supercomput

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Migration Energy Aware Reconfigurations of Virtual Network Function Instances in NFV Architectures

2017

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Network function virtualization (NFV) is a new network architecture framework that implements network functions in software running on a pool of shared commodity servers. NFV can provide the infrastructure flexibility and agility needed to successfully compete in today's evolving communications landscape. Any service is represented by a service function chain (SFC) that is a set of VNFs to be executed according to a given order. The running of VNFs needs the instantiation of VNF instances (VNFIs) that are software modules executed on virtual machines. This paper deals with the migration problem of the VNFIs needed in the low traffic periods to turn OFF servers and consequently to save energy consumption. Though the consolidation allows for energy saving, it has also negative effects as the quality of service degradation or the energy consumption needed for moving the memories associated to the VNFI to be migrated. We focus on cold migration in which virtual machines are redundant and suspended before performing migration. We propose a migration policy that determines when and where to migrate VNFI in response to changes to SFC request intensity. The objective is to minimize the total energy consumption given by the sum of the consolidation and migration energies. We formulate the energy aware VNFI migration problem and after proving that it is NP-hard, we propose a heuristic based on the Viterbi algorithm able to determine the migration policy with low computational complexity. The results obtained by the proposed heuristic show how the introduced policy allows for a reduction of the migration energy and consequently lower total energy consumption with respect to the traditional policies. The energy saving can be on the order of 40% with respect to a policy in which migration is not performed

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Definition and Evaluation of Cold Migration Policies for the Minimization of the Energy Consumption in NFV Architectures

Cited by 4 publications

References 10 publications

Optimizing the Cloud Resources, Bandwidth and Deployment Costs in Multi-Providers Network Function Virtualization Environment

Optimizing the Cloud Resources, Bandwidth and Deployment Costs in Multi-Providers Network Function Virtualization Environment

Algorithms for functionalities of virtual network: a survey

Migration Energy Aware Reconfigurations of Virtual Network Function Instances in NFV Architectures

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