networkfunctionsvirtualization (NFV) is incrementally deployed by Internet Service Providers (ISPs) in their carrier networks, by means of virtualnetwork Function (VNF) chains, to address customers' demands. Th...
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ISBN:
(纸本)9781467395014
networkfunctionsvirtualization (NFV) is incrementally deployed by Internet Service Providers (ISPs) in their carrier networks, by means of virtualnetwork Function (VNF) chains, to address customers' demands. The motivation is the increasing manageability, reliability and performance of NFV systems, the gains in energy and space granted by virtualization, at a cost that becomes competitive with respect to legacy physical network function nodes. From a network optimization perspective, the routing of VNF chains across a carrier network implies key novelties making the VNF chain routing problem unique with respect to the state of the art: the bitrate of each demand flow can change along a VNF chain, the VNF processing latency and computing load can be a function of the demands traffic, VNFs can be shared among demands, etc. In this paper, we provide an NFV network model suitable for ISP operations. We define the generic VNF chain routing optimization problem and devise a mixed integer linear programming formulation. By extensive simulation on realistic ISP topologies, we draw conclusions on the trade-offs achievable between legacy Traffic Engineering (TE) ISP goals and novel combined TE-NFV goals.
This paper introduces a multi-agent system to enhance virtual network functions placement. The suggested system consists of a number of proactive agents aiming at providing a virtualnetworkfunctions configuration de...
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ISBN:
(纸本)9781728157245
This paper introduces a multi-agent system to enhance virtual network functions placement. The suggested system consists of a number of proactive agents aiming at providing a virtualnetworkfunctions configuration depending on the state of the environment. Some of these agents are developed to determine an adequate target configuration based on available information and after a negotiation interaction;while other agents are designed to perceive the environment, as well as to act as managers in the decision process. The communication and the cooperation of these agents allow efficient placement of virtualnetworkfunctions on distributed data-centers, possibly using multiple agent platforms. The results have demonstrated that our approach can enhance the solution by providing an adequate and automatic configuration without the intervention of any human decision-maker.
network function virtualization (NFV) sits firmly on the networking evolutionary path. By migrating networkfunctions from dedicated devices to general purpose computing platforms, NFV can help reduce the cost to depl...
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network function virtualization (NFV) sits firmly on the networking evolutionary path. By migrating networkfunctions from dedicated devices to general purpose computing platforms, NFV can help reduce the cost to deploy and operate large IT infrastructures. In particular, NFV is expected to play a pivotal role in mobile networks where significant cost reductions can be obtained by dynamically deploying and scaling virtualnetworkfunctions (VNFs) in the core network. However, in order to achieve its full potential, NFV needs to extend its reach also to the radio access segment. Here, mobile virtualnetwork operators shall be allowed to request radio access VNFs with custom resource allocation solutions. Such a requirement raises several challenges in terms of performance isolation and resource provisioning. In this work, we formalize the wireless VNF placement problem in the radio access network as an integer linear programming problem and we propose a VNF placement heuristic, named wireless network embedding (WiNE), to solve the problem. Moreover, we present a proof-of-concept implementation of an NFV management and orchestration framework for enterprise WLANs. The proposed architecture builds on a programmable network fabric where pure forwarding nodes are mixed with radio and packet processing capable nodes.
In cloud computing field, computation and memory resources are becoming a relevant growing business. On the other hand, mobile network architecture faces many hurdles, including lack of flexibility for providing enhan...
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In cloud computing field, computation and memory resources are becoming a relevant growing business. On the other hand, mobile network architecture faces many hurdles, including lack of flexibility for providing enhanced services and distributed architecture, and expensive cost to provide a network topology that meets the users' equipment (UEs) needs. To cope with these problems, cloud computing is used in mobile telecommunications market thanks to networkfunctionsvirtualisation. In our paper, we develop a fuzzy controller to support virtual network functions placement and provide an adaptive solution to manage and organise the network. Our approach enables the solution to adapt to UEs' mobility and their needs in term of quality of experience. Furthermore, it minimises S-GWs relocation cost and the path between UEs and packet data network gateways, taking into account the resources capacities. The experimental results show that our approach provides good results compared to the literature methods.
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