network operators are under pressure to offer efficient network-based services while keeping service deployment costs to a minimum. network functions virtualization (NFV) can potentially revolutionize network-based se...
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network operators are under pressure to offer efficient network-based services while keeping service deployment costs to a minimum. network functions virtualization (NFV) can potentially revolutionize network-based services bringing low-deployment costs for network operators. The NFV has been introduced to ultimately extend the non-proprietary and open-standard-based model to network and service deployments, significant improvements to today's proprietary locked implementations. Notwithstanding the continuous efforts of both academia and industry to support the NFV paradigm, the current NFV solutions offered are still in its infancy. In this survey, we provide a detailed background of NFV to establish a comprehensive understanding of the subject, ranging from the basics to more advanced topics. Moreover, we offer a comprehensive overview of the NFV main concepts, standardization efforts, the benefits of NFV, and discussions of the NFV architecture as defined by the European telecommunications standardization institute (ETSI). Furthermore, we discuss the NFV applicability and current open source projects. We then highlight NFV requirements, design considerations, and developmental architectural impairments and barriers to commercial NFV deployments. Finally, we conclude enumerating future directions for NFV development.
Existing network infrastructure is very heterogeneous in terms of connectivity options, service types, and user demands. The emergence of new technologies such as 5G mobile networks and Internet of Things introduces t...
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ISBN:
(纸本)9781538625569
Existing network infrastructure is very heterogeneous in terms of connectivity options, service types, and user demands. The emergence of new technologies such as 5G mobile networks and Internet of Things introduces the additional degrees of complexity and heterogeneity. It results in more diverse requirements to the separate parts of information and communications systems such as fixed and wireless access networks. In this paper, we propose a new virtualized convergent platform based on software defined network architecture. Proposed platform uses elastic optical network infrastructure with flexible configuration for switching, multiplexing, data flows distribution and quality of service maintenance. All these parameters are defined by software and dynamically managed by the controller, providing advantaged in terms of the infrastructure utilization efficiency, flexibility, scalability and reliability, and quality of service.
Public cloud offers economy of scale to adapt workload changes in an autonomic manner, maximizing the use of resources. Through network function virtualization (NFV), network operators can move LTE core to the cloud;h...
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Public cloud offers economy of scale to adapt workload changes in an autonomic manner, maximizing the use of resources. Through network function virtualization (NFV), network operators can move LTE core to the cloud;hence removing their dependency on carrier-grade LTE networkfunctions. Recent research efforts discuss performance, latency, and fault tolerance of LTE NFV, largely ignoring the security aspects. In this paper, we discover new vulnerabilities that LTE NFV face today with no standard solutions to address them. These vulnerabilities span at both LTE control and user planes. To address them, we propose vEPC-sec that cryptographically secures LTE control-plane signaling messages in the cloud. It provides distributed key management and key derivation schemes to derive shared-symmetric keys for securing the communication between any two networkfunctions. Our approach provides encryption and integrity protection to the messages even during virtual machines scalability and failure recovery scenarios. vEPC sec also prevents user-plane vulnerabilities by ensuring that LTE routing modules should faithfully forward the LTE subscriber packets.
This paper proposes a new fully decentralized approach to online placement and optimization of virtual machines (VMs) for network functions virtualization (NFV). The approach is of practical value, as network services...
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This paper proposes a new fully decentralized approach to online placement and optimization of virtual machines (VMs) for network functions virtualization (NFV). The approach is of practical value, as network services comprising a chain of virtual networkfunctions (VNFs) are proposed to be queued on the basis of leading unexecuted VNFs at every server, rather than on the typical basis of services, reducing queues per server and facilitating queue management and signaling. It is also non-trivial because the VNFs of network services must be executed correctly in order at different VMs, coupling the optimal decisions of VMs on processing or offloading. Exploiting Lyapunov optimization techniques, we decouple the optimal decisions by deriving and minimizing the instantaneous upper bound of the NFV cost in a distributed fashion, and achieve the asymptotically minimum time-average cost. We also reduce the queue length by allowing individual VMs to (un)install VNFs based on local knowledge, achieving stable redeployment of VNFs, adapting to the network topology and the temporal and spatial variations of services. Simulations show that the proposed approach is able to reduce the time-average cost of NFV by 71% and reduce the queue length (or delay) by 74%, as compared with existing approaches.
It is anticipated that future networks support networkfunctions, such as firewalls, load balancers and intrusion prevention systems in a fully automated, flexible, and efficient manner. In cloud computing environment...
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It is anticipated that future networks support networkfunctions, such as firewalls, load balancers and intrusion prevention systems in a fully automated, flexible, and efficient manner. In cloud computing environments, network functions virtualization (NFV) aims to reduce cost and simplify operations of such network services through the virtualization technologies. To enforce network policies in NFV-based cloud environments, network services are composed of virtualized networkfunctions (VNFs) that are chained together as service function chains (SFCs). All network traffic matching a policy must traverse networkfunctions in the chain in a sequence to comply with it. While SFC has drawn considerable attention, relatively little has been given to dynamic auto-scaling of VNF resources in the service chain. Moreover, most of the existing approaches focus only on allocating computing and network resources to VNFs without considering the quality of service requirements of the service chain such as end-to-end latency. Therefore, in this paper, we define a unified framework for building elastic service chains. We propose a dynamic auto-scaling algorithm called ElasticSFC to minimize the cost while meeting the end-to-end latency of the service chain. The experimental results show that our proposed algorithm can reduce the cost of SFC deployment and SLA violation significantly. (C) 2019 Elsevier Inc. All rights reserved.
The network functions virtualization (NFV) extends the functionality provided by Software-Defined networking (SDN). It is a virtualization technology that aims to replace the functionality provided by traditional netw...
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The network functions virtualization (NFV) extends the functionality provided by Software-Defined networking (SDN). It is a virtualization technology that aims to replace the functionality provided by traditional networking hardware using software solutions. Thereby, enabling cheaper and efficient network deployment and management. The use of NFV and SDN is anticipated to enhance the performance of Infrastructure-as-a-Service (IaaS) clouds. However, due to the presence of a large number of network devices in laaS clouds offering a plethora of networked services, there is need to develop a traffic monitoring system for the efficient network. This paper proposes and validates an extensible SDN and NFV-enabled network traffic monitoring system. Using extensive experiments, we show that the proposed system can closely match the performance of traditional networks at cheaper costs and by adding more flexibility to network management tasks. (C) 2018 Published by Elsevier B.V.
Management is an essential process to ensure the proper operation of computer networks. There are a lot of proposals to manage software-defined networks (SDN) from their application plane. However, such proposals shar...
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Management is an essential process to ensure the proper operation of computer networks. There are a lot of proposals to manage software-defined networks (SDN) from their application plane. However, such proposals share some shortcomings related to low automation of network management tasks, long time needed to handle network situations, and the lack of flexibility and workability. In this paper, we introduce JANO to overcome these shortcomings and investigate the feasibility of using automated planning and networkfunctions' virtualization to manage SDN from a vertical management plane. JANO uses hierarchical task networks' planning to generate automatically plans that automate management tasks and reduce the time required by administrators to face network situations. Also, JANO performs an instantiation of the management orchestrator of network functions virtualization to provide flexibility and workability in the generation and execution of plans targeted to addressing network situations. We evaluate JANO in a proof of concept. The evaluation results corroborated that JANO is a feasible solution to manage SDN, since the planning time slightly and linearly increased with the number of primitive tasks that form a plan, the time-consuming needed by administrators to addressing a network situation was short, and the additional traffic was low.
The advent of network functions virtualization (NFV) has revolutionized numerous network-based applications due to its several benefits such as flexibility, manageability, scalability, and security. By the software-ba...
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The advent of network functions virtualization (NFV) has revolutionized numerous network-based applications due to its several benefits such as flexibility, manageability, scalability, and security. By the software-based virtualization of networkfunctions on a single infrastructure, NFV provides users with a framework that dynamically provisions various network services in a flexible manner. However, NFV faces several security challenges (e.g., multi-tenancy and live migration) which make it vulnerable to some cybersecurity attacks (e.g., side-channel attacks and shared resource misuse attacks). In this paper, we provide an overview of NFV, discuss potentially serious security threats on NFV and introduce effective countermeasures to mitigate those threats. Finally, we suggest some practical solutions to provide a trustworthy platform for NFV. (C) 2016 Elsevier B.V. All rights reserved.
The workload variations affect the performance of mobile networks. The scaling task is pivotal for addressing these variations. In the literature, research works have incorporated horizontal or vertical scaling in the...
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The workload variations affect the performance of mobile networks. The scaling task is pivotal for addressing these variations. In the literature, research works have incorporated horizontal or vertical scaling in the virtualized networkfunctions of the Evolved Packet Core (EPC) to improve its performance. However, up to now, these works exploit only horizontal or vertical scaling for achieving their aim. In this paper, we propose a scaling mechanism that utilizes horizontal and vertical scaling and considers workload variations for improving performance in EPC. This mechanism is threshold-based, straightforward, and implementable in real LTE-EPC scenarios. We also develop a mechanism prototype and deploy it in a real public cloud. In this cloud, we conduct a prototype evaluation, regarding registrations per second, latency, CPU, and RAM, and considering a varying workload. The evaluation results reveal that our mechanism increases the registrations per second about 308% and decreases the corresponding latency approximately 70% regarding an EPC without scaling while keeping the CPU usage lower than 90% and the used capacity of registrations per second between 65% and 90%. These results corroborate the importance of used both horizontal and vertical scaling to improve EPC performance, handle workload variations, and save resources.
In this demonstration, we present a monitoring framework for VNFs running inside containers in a cloud system consisting of multiple data centers. We illustrate a use case for the monitoring framework by demonstrating...
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ISBN:
(纸本)9781509001804
In this demonstration, we present a monitoring framework for VNFs running inside containers in a cloud system consisting of multiple data centers. We illustrate a use case for the monitoring framework by demonstrating VNF scaling based on monitoring information from both cloud resources and the transport network.
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