network function virtualization (NFV) has emerged as a new technology to reduce the cost of hardware deployment. It is an architecture that using virtualized functions run on the virtual machine to achieve services in...
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network function virtualization (NFV) has emerged as a new technology to reduce the cost of hardware deployment. It is an architecture that using virtualized functions run on the virtual machine to achieve services instead of using specific hardware. Although NFV brings more opportunities to enhance the flexibility and efficiency of the network, resource allocation problems should be well taken into consideration. In this paper, we investigate the virtual networkfunction (VNF) resource allocation problem to minimize the network operation cost for different services. Both setting the VNF instances for each virtual machine and allocating the traffic volume in the network are considered. The problem is formulated as a mixed integer programming problem. Although it can be solved in a centralized fashion which requires a central controller to collect information from all virtual machines, it is not practical for large-scale networks. Thus, we propose a distributed iteration algorithm to achieve the optimal solution. The proposed algorithm framework is developed based on the joint Benders decomposition and alternating direction method of multipliers (ADMM), which allows us to deal with integer variables and decompose the original problem into multiple subproblems for each virtual machine. Furthermore, we describe the detail implementation of our algorithm to run on a computer cluster using the Hadoop MapReduce software framework. Finally, the simulation results indicate the effectiveness of the algorithm.
network function virtualization (NFV) has drawn significant attention from both industry and academia as an important shift in telecommunication service provisioning. By decoupling networkfunctions (NFs) from the phy...
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network function virtualization (NFV) has drawn significant attention from both industry and academia as an important shift in telecommunication service provisioning. By decoupling networkfunctions (NFs) from the physical devices on which they run, NFV has the potential to lead to significant reductions in operating expenses (OPEX) and capital expenses (CAPEX) and facilitate the deployment of new services with increased agility and faster time-to-value. The NFV paradigm is still in its infancy and there is a large spectrum of opportunities for the research community to develop new architectures, systems and applications, and to evaluate alternatives and trade-offs in developing technologies for its successful deployment. In this paper, after discussing NFV and its relationship with complementary fields of software defined networking (SDN) and cloud computing, we survey the state-of-the-art in NFV, and identify promising research directions in this area. We also overview key NFV projects, standardization efforts, early implementations, use cases, and commercial products.
In network function virtualization (NFV), traditional purpose-built proprietary middle-boxes are replaced with virtual networkfunction (VNF) instances that are deployed over generic hardware;network traffic flows are...
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In network function virtualization (NFV), traditional purpose-built proprietary middle-boxes are replaced with virtual networkfunction (VNF) instances that are deployed over generic hardware;network traffic flows are steered through a sequence of VNF instances (i.e., that forms a service function chain) after resolving the VNF Forward Graph Embedding (FGE) problem. NFV eases the network management and fosters the agile deployment of network services, thus enabling a foremost solution to address issues of traditional enterprise networks. With the everlasting Internet traffic growth, in this work, we extend the provision of NFV upon Elastic Optical networks (EONs) that deliver abundant elastic and fine-granular bandwidth for connections between VNFs. We systematically examine the integrated NFV-EON architecture, and investigate one key enabler, namely the FGE-EON problem, where one has to coordinate the allocation of computing resources (as in a typical FGE problem) and the assignment of optical bandwidth (i.e., spectrum allocation in EONs). The contributions of this work are multi-fold. The FGE-EON problem is proven to be NP-Complete for the first time. An Integer Linear Programming (ILP) model is developed to address FGE-EON problem of small instances. Despite its complexity, with novel modeling techniques, the proposed ILP model maintains a compact structure even after accounting for VNF sharing and VNF co-location together for the first time. For large scale problems, we design a heuristic algorithm based on layered graph that is shown to be near-optimal in our evaluations.
The objectives of this survey are to provide an in-depth coverage of a few selected research papers that have made significant contributions to the development of network function virtualization (NFV), and to provide ...
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The objectives of this survey are to provide an in-depth coverage of a few selected research papers that have made significant contributions to the development of network function virtualization (NFV), and to provide readers insights into the key advantages and disadvantages of NFV and Software Defined networks (SDN) when compared to traditional networks. The research papers covered are classified into four categories: NFV Infrastructure (NFVI), networkfunctions (NFs), Management And network Orchestration (MANO), and service chaining. The NFVI papers describe "framework" software that implement common functions, such as dynamic scaling and load balancing, required by NF developers. Papers on NFs are classified as offering solutions for software switches or middleboxes. MANO papers covered in this survey are primarily on resource allocation (virtual network embedding), which is an orchestrator function. Finally, service chaining papers that offer examples and extensions are reviewed. Our conclusions are that with the current level of investment in NFV from cloud and Internet service providers, the promised cost savings are likely to be realized, though many challenges remain.
As a key enabling technology for 5G network softwarization, network function virtualization (NFV) provides an efficient paradigm to optimize network resource utility for the benefits of both network providers and user...
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As a key enabling technology for 5G network softwarization, network function virtualization (NFV) provides an efficient paradigm to optimize network resource utility for the benefits of both network providers and users. However, the inherent network dynamics and uncertainties from 5G infrastructure, resources, and applications are slowing down the further adoption of NFV in many emerging networking applications. Motivated by this, in this paper, we investigate the issues of network utility degradation when implementing NFV in dynamic networks, and design a proactive NFV solution from a fully stochastic perspective. Unlike existing deterministic NFV solutions, which assume given network capacities and/or static service quality demands, this paper explicitly integrates the knowledge of influential network variations into a two-stage stochastic resource utilization model. By exploiting the hierarchical decision structures in this problem, a distributed computing framework with two-level decomposition is designed to facilitate a distributed implementation of the proposed model in large-scale networks. The experimental results demonstrate that the proposed solution not only improves 3 similar to 5 folds of network performance, but also effectively reduces the risk of service quality violation.
network function virtualization (NFV) has been introduced by network service providers to overcome various challenges that hinder them from satisfying the growing demand for networking services with higher return-on-i...
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network function virtualization (NFV) has been introduced by network service providers to overcome various challenges that hinder them from satisfying the growing demand for networking services with higher return-on-investment. The association of NFV with the leading technologies of information technology virtualization and software defined networking is paving the way for flexible and dynamic orchestration of the VNFs, but still, various challenges need to be addressed. The VNFs instantiation and placement problems on data center's (DC) servers are key enablers to achieve the desired flexible and dynamic NFV applications. In this paper, we have addressed the VNF placement problem by providing a novel mixed integer linear programming (MILP) optimization model and a novel heuristic solution, Betweenness centrality Algorithm for Component Orchestration of NFV platform (BACON), for small- and large-scale DC networks. The proposed solution addresses the VNF placement while taking into consideration the carrier-grade nature of the NFV applications and at the same time, minimizing the intra-and end-to-end delays of the service function chain (SFC). Also, the proposed approach enhances the reliability and the quality of service (QoS) of the SFC by maximizing the count of the functional group members. To evaluate the performance of the proposed solution, this paper conducts a comparative analysis with an NFV-agnostic algorithm and a greedy-k-NFV approach, which is proposed in the literature work. Also, this paper defines the complexity and the order of magnitude of the MILP model and BACON. BACON outperforms the greedy algorithms especially the greedy-k-NFV solution and has a lower complexity, which is calculated as O((n(8)-n(2))/2). The simulation results show that finding an optimized VNF placement can achieve minimal SFCs delays and enhance the QoS accordingly.
The fields of networking and telecommunications are presently witnessing the transition of a number of network function virtualization (NFV) principles and techniques from research into practice. This survey attempts ...
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The fields of networking and telecommunications are presently witnessing the transition of a number of network function virtualization (NFV) principles and techniques from research into practice. This survey attempts to capture the NFV phenomenon in its multi-faceted historical development over the last two decades, by answering the question "What are the main goals of NFV systems?" and by highlighting the advantages and technical limits of NFV in supporting those goals. By focusing on the whys and hows of NFV, we propose a reasoned overview of the most significant design elements of NFV as a complementary synthesis to the analytical taxonomies of papers and standards that are usually found in survey documents.
network function virtualization (NFV) is a series of upcoming technologies that allow the high-volume packet-processing functions forming the modern Internet's core to be virtualized, so that they can run on commo...
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network function virtualization (NFV) is a series of upcoming technologies that allow the high-volume packet-processing functions forming the modern Internet's core to be virtualized, so that they can run on commodity cloud computing platforms. This special issue of IEEE Internet Computing highlights some of the opportunities, challenges, and solutions that will shape this transformational field in the years to come.
A novel optical transport node architecture enabling network function virtualization is proposed with the corresponding control plane framework. The proposed node architecture is emulated by commercial equipment and i...
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ISBN:
(纸本)9782954944401
A novel optical transport node architecture enabling network function virtualization is proposed with the corresponding control plane framework. The proposed node architecture is emulated by commercial equipment and is validated by the experimental results.
In recent years, cloud and virtualization technologies have received a lot of attention among network equipment vendors and service providers. Due to the flexibility and significant economic potential of these technol...
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