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NFV创造网络新价值 总被引:2,自引:0,他引:2
网络功能虚拟化带来了各种增值网络功能业务的新场景,在这种趋势的蔓延下,将会出现越来越多的个人或者企业用户选择从网络运营商租用诸如虚拟家庭网关、虚拟防火墙、虚拟企业接入路由器等服务,从而运营商在节省成本的同时,也可以开展越来越多的新的增值业务。网络运营商的去管道化,或将从NFV开始。 相似文献
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本文首先对SDN技术和NFV技术的基本概况进行了介绍,其次分析了SDN技术和NFV技术在延时敏感业务场景中的应用,借助SDN与NFV的优势,通过SDN多路技术与NFV并行处理模式可以减小延迟保证网络整体服务质量。 相似文献
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作为区块链的一个核心问题是解决工作量证明难题,由于需要强大的计算能力,因此在移动设备中实施该资源付出的代价成本颇高。因此,这就限制了移动应用中区块链的发展。在本文中,我们将边缘计算视为移动区块链的网络推动者,研究在边缘设备上分配存储资源的问题,从而使边缘设备其具有可扩展性,以支持移动区块链的应用。 相似文献
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传统基础通信网络的网元采用软/硬件垂直一体化架构,网络方面存在大量独立的"烟囱"群——这些使得基础通信网络的总体拥有成本居高不下。所以,"去电信化"变革的方向就在于对网络的基础架构进行变革。在此大背景之下,NFV(网络功能虚拟化)就成为"去电信化"基础通信网络领域的突破方向。2012年,美国AT&T、BT(英国电信)、DT(德国电信)等基础电信网络运营商在ETSI(欧洲通信标准协会)提出NFV的概念。NFV技术的核心理念在于把逻辑上的网络功能从实体硬件设备之中解耦出去,以期能够大幅度地降低基础电信网络运营商的网络建设成本与运营成本。 相似文献
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NFV(network functions virtualization,网络功能虚拟化)作为一项新兴技术,国际国内多个有影响力的标准组织近年来纷纷成立了专门的工作组来开展NFV的相关标准研究.在标准研发的基础上,涌现了一批NFV相关开源组织.研究了以ETSI为代表的各标准组织以及以OPNFV(open platform for NFV)为代表的开源组织的研究动态和最新成果,并深入分析了NFV标准发展趋势,最后,归纳了NFV架构开源实现的关键技术.对NFV标准研究和开源实现具有一定的参考意义. 相似文献
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在网络功能虚拟化场景下,每个网络功能都以软件的形式来实现。但传统的串行网络功能组链方式将带来极大的性能损耗。而如今针对网络功能进行加速的工作,主要集中在优化该串行链的每个组成成分上。提出了一个高性能的系统框架,通过让网络功能并行地对数据分组进行处理,提高网络功能虚拟化场景下服务链的整体性能。该系统由 3 个部分组成。首先,该系统为管理员提供了一个策略描述语言来直观地描述串行或并行的组链意图。然后,该系统的编排器智能地鉴别网络功能之间的依赖性,并基于所提供的策略,生成高性能的“服务图”。最后,该系统的底层实现通过执行轻量级的数据分组复制、分布式的并行分组转发和负载均衡后的数据分组合并来支持网络功能的并行处理。基于DPDK技术,在Linux容器中实现了该系统的原型机。通过实验验证可知,该系统能极大地减少真实世界中服务链的处理时延。 相似文献
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We deal with a resource allocation problem for multimedia service discrimination in wireless networks. We assume that a service provider allocates network resources to users who can choose and access one of the discriminated services. To express the rational service selection of users, the utility function of users is devised to reflect both service quality and cost. Regarding the utility function of a service provider, total profit and efficiency of resource usage have been considered. The proposed service discrimination framework is composed of two game models. An outer model is a repeated Stackelberg game between a service provider and a user group, while an inner model is a service selection game among users, which is solved by adopting the Kalai‐Smorodinsky bargaining solution. Through simulation experiments, we compare the proposed framework with existing resource allocation methods according to user cost sensitivity. The proposed framework performed better than existing frameworks in terms of total profit and fairness. 相似文献
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针对优化服务功能链(Service Function Chain,SFC)可靠性时资源利用率低的问题,提出了特征关联的服务功能链可靠性优化算法。首先,从底层节点的资源可用率、周边资源密集度、全网中心性评价其作为虚拟网络功能(Virtual Network Function,VNF)实例备选节点的优势,从VNF实例的节点度数与带宽流量评价其作为备选对象的优势。其次,逐个对优越性最高的VNF实例选择备份底层节点,直到所有SFC的可靠性满足客户要求。在为VNF实例选择备份底层节点时,提出了基于资源特征关联感知的备份节点选择算法,将当前VNF实例所映射的底层节点与其他待备份VNF实例的底层节点的邻接节点进行关联,为当前VNF实例选择最优备份底层节点的同时,减少为其他待备份VNF实例选择备份底层节点时链路的开销。仿真结果表明,相比于已有算法,该SFC可靠性优化算法下备份实例数降低了约29%,备份带宽资源消耗降低了约42%,SFC接受率提升了约12%。 相似文献
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Small cells have been regarded as an appealing technique to boost resource reuse ratio. On the other hand, their large-scale and self-organised tendency would complicate the interference environment of mobile networks. Meanwhile, traffic class is booming in recent years, which leads to higher demand for net- work designers on Quality of Service (QoS) provision, and therefore users' diverse re- quirements may not be guaranteed in sucff'an interference limited scenario. To maximise the number of users with QoS demands as well as resource reuse ratio, we formulate the resource allocation problem into a multi-objective l0 norm form. It is shown to be NP hard, and an iterative method is employed to approach the optimal solution. Because of its limit of being not adaptive to large-scale networks, we also design a heuristic method based on chordal graph, which, however, could result in per- formance loss when the size of networks is small. Finally, by combining these two meth- ods, we devise a hybrid algorithm such that the allocation performs both efficiently and effectively. Simulation results illustrate the performance of our proposed methods in terms of outage probability and resource reuse ratio. 相似文献
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Two‐Stage Resource Allocation to Improve Utilization of Synchronous OFDM‐PON Supporting Service Differentiation 下载免费PDF全文
We propose a two‐stage resource allocation algorithm for the high link utilization of an orthogonal frequency‐division multiplexing passive optical network (OFDM‐PON). An OFDM‐PON is assumed to use a synchronous frame structure in supporting service differentiation. In distributing resources, the proposed algorithm first allocates a time window for each optical network unit (ONU), and then it arranges a subchannel, which is a group of subcarriers. This algorithm needs to satisfy two constraints. First, computations for the resource allocation should be done using a frame unit. Second, an ONU has to use a single subchannel to send upstream data for multiple services within a frame duration. We show through a computer simulation that the proposed algorithm improves the link utilization. 相似文献
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针对5G网络在网络资源分配存在的问题,从用户业务QoS等级角度提出基于贝叶斯模型的网络资源优化分配策略模型。在对用户业务QoS等级划分的基础上采用优先节点自主控制策略进行网络资源分配,通过构建贝叶斯模型评价网络状态并进行动态学习推理,指导网络优先节点的控制决策,实现优先节点对最佳信道的优先选择。实验表明,与基于信道容量的信道资源分配策略相比,本文的策略在网络总体容量和网络公平性上具有更好的表现,能够更好满足异构网络的实际需求。 相似文献
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Scheduling spectrum access and allocating power and rate resources are tasks affecting critically the performance of wireless
cognitive radio (CR) networks. The present contribution develops a primal-dual optimization framework to schedule any-to-any
CR communications based on orthogonal frequency division multiple access and allocate power so as to maximize the weighted
average sum-rate of all users. Fairness is ensured among CR communicators and possible hierarchies are respected by guaranteeing
minimum rate requirements for primary users while allowing secondary users to access the spectrum opportunistically. The framework
leads to an iterative channel-adaptive distributed algorithm whereby nodes rely only on local information exchanges with their
neighbors to attain global optimality. Simulations confirm that the distributed online algorithm does not require knowledge
of the underlying fading channel distribution and converges to the optimum almost surely from any initialization.
Juan-Andrés Bazerque (SM’06) received his B.Sc. degree in Electrical Engineering from Universidad de la República (UdelaR), Montevideo, Uruguay in 2003. Since August 2006 he has been working towards the Ph.D. degree as a research assistant with the Electrical and Computer Engineering Department at the University of Minnesota, Minneapolis. From 2000 to 2006 he was a teaching assistant with the Department of Mathematics and Statistics, and with the Department of Electrical Engineering (UdelaR). From 2003 to 2006 he was a member of the technical Staff at the Uruguayan telecommunications company Uniotel S.A. developing applications for Voice over IP. His general research interests span the areas of communications, signal processing and wireless networking with current emphases on distributed resource allocation for cognitive radios. G. B. Giannakis (Fellow’97) received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a professor with the ECE Department at the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications. His general interests span the areas of communications, networking and statistical signal processing - subjects on which he has published more than 250 journal papers, 450 conference papers, two edited books and two research monographs. Current research focuses on complex-field and space-time coding, multicarrier, cooperative wireless communications, cognitive radios, cross-layer designs, mobile ad hoc networks and wireless sensor networks. G. B. Giannakis is the (co-) recipient of six paper awards from the IEEE Signal Processing (SP) and Communications Societies including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award and the G. W. Taylor Award for Distinguished Research from the University of Minnesota. He has served the IEEE in a number of posts, and is currently a Distinguished Lecturer for the IEEE-SP Society. 相似文献
Georgios B. Giannakis (Corresponding author)Email: |
Juan-Andrés Bazerque (SM’06) received his B.Sc. degree in Electrical Engineering from Universidad de la República (UdelaR), Montevideo, Uruguay in 2003. Since August 2006 he has been working towards the Ph.D. degree as a research assistant with the Electrical and Computer Engineering Department at the University of Minnesota, Minneapolis. From 2000 to 2006 he was a teaching assistant with the Department of Mathematics and Statistics, and with the Department of Electrical Engineering (UdelaR). From 2003 to 2006 he was a member of the technical Staff at the Uruguayan telecommunications company Uniotel S.A. developing applications for Voice over IP. His general research interests span the areas of communications, signal processing and wireless networking with current emphases on distributed resource allocation for cognitive radios. G. B. Giannakis (Fellow’97) received his Diploma in Electrical Engr. from the Ntl. Tech. Univ. of Athens, Greece, 1981. From 1982 to 1986 he was with the Univ. of Southern California (USC), where he received his MSc. in Electrical Engineering, 1983, MSc. in Mathematics, 1986, and Ph.D. in Electrical Engr., 1986. Since 1999 he has been a professor with the ECE Department at the Univ. of Minnesota, where he now holds an ADC Chair in Wireless Telecommunications. His general interests span the areas of communications, networking and statistical signal processing - subjects on which he has published more than 250 journal papers, 450 conference papers, two edited books and two research monographs. Current research focuses on complex-field and space-time coding, multicarrier, cooperative wireless communications, cognitive radios, cross-layer designs, mobile ad hoc networks and wireless sensor networks. G. B. Giannakis is the (co-) recipient of six paper awards from the IEEE Signal Processing (SP) and Communications Societies including the G. Marconi Prize Paper Award in Wireless Communications. He also received Technical Achievement Awards from the SP Society (2000), from EURASIP (2005), a Young Faculty Teaching Award and the G. W. Taylor Award for Distinguished Research from the University of Minnesota. He has served the IEEE in a number of posts, and is currently a Distinguished Lecturer for the IEEE-SP Society. 相似文献