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2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)最新文献

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Container-based design of a Virtual Network Security Function 基于容器的虚拟网络安全功能设计
Pub Date : 2018-06-25 DOI: 10.1109/NETSOFT.2018.8459903
Marco de Benedictis, A. Lioy, Paolo Smiraglia
Modern ICT infrastructures are evolving thanks to the advantages offered by virtualisation in terms of flexibility, scalability, and savings on hardware-related costs. More recently, virtualisation has gained momentum in the Internet Service Providers' infrastructures as well, where Software Defined Networking and Network Function Virtualisation paradigms propose programmability of the network and the softwarisation of proprietary hardware appliances. In this scenario, lightweight virtualisation technologies, such as Linux containers, have a significant role, as they address the needs for scalability, availability and fast deployment to support the software-based network infrastructures. In this paper, we focus on defining a reusable design for a container-based Virtual Network Security Function, by highlighting the peculiarities of its architecture compared to a Virtual Machine-based instance. Moreover, we present a prototype application of this architecture to implement an HTTP reverse proxy with application-layer filtering capabilities, tailored for the NFV Security-as-a-Service scenario. We evaluate the performance of this prototype and compare it to the results of alternative deployments, namely the Virtual Machine and bare-metal solutions. Finally, we evaluate the proposed solution in a load-balancing scenario, for increased throughput and availability.
由于虚拟化在灵活性、可扩展性和节省硬件相关成本方面提供的优势,现代ICT基础设施正在不断发展。最近,虚拟化在互联网服务提供商的基础设施中也获得了动力,其中软件定义网络和网络功能虚拟化范式提出了网络的可编程性和专有硬件设备的软件化。在这种情况下,轻量级虚拟化技术(如Linux容器)扮演着重要的角色,因为它们满足了可伸缩性、可用性和快速部署的需求,以支持基于软件的网络基础设施。在本文中,我们着重于定义基于容器的虚拟网络安全功能的可重用设计,与基于虚拟机的实例相比,我们强调了其架构的特殊性。此外,我们提出了该架构的原型应用程序,以实现具有应用层过滤功能的HTTP反向代理,为NFV安全即服务场景量身定制。我们评估了该原型的性能,并将其与替代部署(即虚拟机和裸机解决方案)的结果进行了比较。最后,我们在负载平衡场景中评估建议的解决方案,以提高吞吐量和可用性。
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引用次数: 2
On-Demand Network Slicing using SDN/NFV-enabled Satellite Ground Segment Systems 使用支持SDN/ nfv的卫星地面段系统的按需网络切片
Pub Date : 2018-06-25 DOI: 10.1109/NETSOFT.2018.8460139
T. Ahmed, Abdelhamid Alleg, R. Ferrús, R. Riggio
This paper proposes an architecture framework for the realization of on-demand satellite network slicing that is built on the introduction of Software Defined Networking (SDN) and Network Function Virtualization (NFV) technologies. In this way, service delivery with satellite networks is shifted from a network for connectivity model to a network for service model with a high degree of service customization and adaptability, including satellite bandwidth on-demand. Under this framework, we study the resource orchestration of satellite network services by formulating the on-demand network slicing as an optimization problem that provides flexible service chaining and provisioning taking into account diversified service requirements. The objective is to determine the optimal resource allocation for supporting a satellite network slice that minimizes resources consumption while meeting service specification requirements such as the end-to-end delay.
本文在引入软件定义网络(SDN)和网络功能虚拟化(NFV)技术的基础上,提出了实现按需卫星网络切片的架构框架。通过这种方式,卫星网络的服务交付从连接网络模型转变为服务网络模型,具有高度的服务定制和适应性,包括按需卫星带宽。在此框架下,我们研究了卫星网络业务的资源编排,将按需网络切片定义为一个考虑多种业务需求提供灵活的服务链和供应的优化问题。目标是确定支持卫星网络切片的最优资源分配,以最大限度地减少资源消耗,同时满足服务规范要求(如端到端延迟)。
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引用次数: 23
QualitySDN: Improving Video Quality using MPTCP and Segment Routing in SDN/NFV QualitySDN:在SDN/NFV中使用MPTCP和段路由提高视频质量
Pub Date : 2018-06-25 DOI: 10.1109/NETSOFT.2018.8459917
A. Barakabitze, I. Mkwawa, Lingfen Sun, E. Ifeachor
In this paper, we present a novel QoE-aware SDN/NFV system by utilizing and integrating Multi-path TCP (MPTCP) and Segment Routing (SR) paradigms. We propose a QoE-based Multipath Source Routing (QoEMuSoRo) algorithm that achieve an optimized end-to-end QoE for the end-user by forwarding MPTCP subflows using SR over SDN/NFV. We implement and validate the proposed scheme through DASH experiments using Mininet and POX controller. To demonstrate the effectiveness of our proposal, we compare the performance of our QoE-aware MPTCP SDN/NFV SR-based proposal, the MPTCP and regular TCP in terms of system throughput and the end-user's QoE. Preliminary results shows that, our approach outperforms the other aforementioned methods.
在本文中,我们利用并集成了多路径TCP (MPTCP)和段路由(SR)范式,提出了一种新的qos感知SDN/NFV系统。我们提出了一种基于qos的多路径源路由(QoEMuSoRo)算法,通过在SDN/NFV上使用SR转发MPTCP子流,为最终用户实现优化的端到端QoE。我们使用Mininet和POX控制器通过DASH实验实现并验证了所提出的方案。为了证明我们的建议的有效性,我们比较了基于qos的MPTCP SDN/NFV sr的建议,MPTCP和常规TCP在系统吞吐量和最终用户的QoE方面的性能。初步结果表明,我们的方法优于上述其他方法。
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引用次数: 22
Deep Recurrent Neural Network for Intrusion Detection in SDN-based Networks 基于sdn网络的深度递归神经网络入侵检测
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8460090
Tuan A. Tang, L. Mhamdi, D. McLernon, Syed Ali Raza Zaidi, M. Ghogho
Software Defined Networking (SDN) has emerged as a key enabler for future agile Internet architecture. Nevertheless, the flexibility provided by SDN architecture manifests several new design issues in terms of network security. These issues must be addressed in a unified way to strengthen overall network security for future SDN deployments. Consequently, in this paper, we propose a Gated Recurrent Unit Recurrent Neural Network (GRU-RNN) enabled intrusion detection systems for SDNs. The proposed approach is tested using the NSL-KDD dataset, and we achieve an accuracy of 89% with only six raw features. Our experiment results also show that the proposed GRU-RNN does not deteriorate the network performance. Through extensive experiments, we conclude that the proposed approach exhibits a strong potential for intrusion detection in the SDN environments.
软件定义网络(SDN)已经成为未来敏捷互联网架构的关键推动者。然而,SDN架构提供的灵活性在网络安全方面体现了几个新的设计问题。这些问题必须统一解决,以加强未来SDN部署的整体网络安全。因此,在本文中,我们提出了一种支持门控循环单元递归神经网络(GRU-RNN)的sdn入侵检测系统。使用NSL-KDD数据集对所提出的方法进行了测试,我们仅使用六个原始特征就实现了89%的准确率。我们的实验结果也表明,所提出的GRU-RNN不会降低网络的性能。通过大量的实验,我们得出结论,提出的方法在SDN环境中显示出强大的入侵检测潜力。
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引用次数: 178
PCPV: Pattern-based Cost-efficient Proactive VNF placement and chaining for value-added services in content delivery networks PCPV:内容交付网络中增值服务的基于模式的经济高效的主动VNF放置和链接
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8459986
S. Ahvar, Jagruti Sahoo, E. Ahvar, Mouhamad Dieye, R. Glitho, H. Elbiaze, N. Crespi
Value-added services (VASs) are an integral part of todays Content Delivery Networks (CDNs). They can be implemented as a chain of Virtual Network Functions (VNFs). These chains need to be placed in an efficient way in CDNs in order to optimize quality of service (QoS) for end-users(EUs) while minimizing cost for providers. We formulate the problem as an Integer Linear Program (ILP) and propose a Pattern-based Cost-efficient Proactive VNF placement and chaining (PCPV) algorithm. The objective is to find the optimal number, location and chaining of VNFs in such a manner that the cost is minimized while QoS is met. Apart from cost minimization, the support for large-scale CDNs with a large number of physical machines (servers) and EUs is an important feature of the proposed algorithm. Through simulations, the algorithm behavior for small-scale to large scale CDN networks is analyzed.
增值服务(vas)是当今内容交付网络(cdn)的一个组成部分。它们可以被实现为一个虚拟网络函数链(VNFs)。这些链需要以一种有效的方式放置在cdn中,以便为最终用户(eu)优化服务质量(QoS),同时最大限度地降低提供商的成本。我们将该问题表述为整数线性规划(ILP),并提出了一种基于模式的经济高效的主动VNF放置和链接(PCPV)算法。目标是找到VNFs的最优数量、位置和链接,使成本最小化,同时满足QoS。除了成本最小化之外,支持具有大量物理机器(服务器)和eu的大规模cdn是该算法的一个重要特征。通过仿真,分析了该算法在小规模到大规模CDN网络中的行为。
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引用次数: 3
ReasoNet: Inferring Network Policies Using Ontologies ReasoNet:使用本体推断网络策略
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8460050
Charalampos Rotsos, Arsham Farshad, D. King, D. Hutchison, Qianru Zhou, A. Gray, Chengxiang Wang, S. Mclaughlin
Modern Software Defined Networking (SDN) control stacks consist of multiple abstraction and virtualization layers to enable flexibility in the development of new control features. Rich data modeling frameworks are essential when sharing information across control layers. Unfortunately, existing Network Operating System (NOS) data modeling capabilities are limited to simple type-checking and code templating. We present an exploration of a more extreme point on SDN data modeling: ReasoNet. Developers can use semantic web technologies to enrich their data models with reasoning rules and integrity/consistency constraints, and automate state inference across layers. We demonstrate the ability of ReasoNet to automate state verification and cross-layer debugging, through the implementation of two popular control applications, a learning switch and a Quality of Service (QoS) policy engine.
现代软件定义网络(SDN)控制栈由多个抽象层和虚拟化层组成,可以灵活地开发新的控制特性。在跨控制层共享信息时,富数据建模框架是必不可少的。不幸的是,现有的Network Operating System (NOS)数据建模功能仅限于简单的类型检查和代码模板。我们对SDN数据建模的一个更极端的点进行了探索:ReasoNet。开发人员可以使用语义web技术通过推理规则和完整性/一致性约束来丰富他们的数据模型,并自动跨层进行状态推断。我们通过实现两个流行的控制应用程序,一个学习开关和一个服务质量(QoS)策略引擎,展示了ReasoNet自动状态验证和跨层调试的能力。
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引用次数: 5
Design of a UAV-Based Videosurveillance System with Tactile Internet Constraints in a 5G Ecosystem 5G生态系统下基于触觉互联网约束的无人机视频监控系统设计
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8460024
Christian Grasso, G. Schembra
One of the main goals of the new fifth generation of cellular networks (5G) is to provide the programmability, flexibility, and modularity that are required to create multiple logical networks, called network slices, each tailored for a given vertical use case, on top of a common network infrastructure. A particular network slice that is expected to be able to create a plethora of new opportunities and applications, is the Tactile Internet, aiming at guaranteeing e2e delays not greater than 1 ms to its users. Matching this very severe requirement does not only depend on the length of the physical path that information should follow flowing from sensors to actuators, but also on the size of each information. This is the case of a video-surveillance system that uses Unmanned Aerial Vehicles (UAV) to capture high-resolution images with a frame rate of thousands frames per second. Considering this kind of scenarios, this paper proposes a Tactile Internet architecture for video-surveillance systems. An analytical model based on Markov chains is defined to evaluate delays and job loss probability in order to allow designers to dimension system elements to be compliant with the Tactile Internet requirements.
新的第五代蜂窝网络(5G)的主要目标之一是提供创建多个逻辑网络(称为网络切片)所需的可编程性、灵活性和模块化,每个逻辑网络都针对特定的垂直用例在公共网络基础设施之上进行定制。一个特殊的网络切片有望创造大量的新机会和应用,是触觉互联网,旨在保证端到端延迟不大于1毫秒的用户。满足这一非常严格的要求不仅取决于信息从传感器流向执行器的物理路径的长度,还取决于每个信息的大小。这是使用无人机(UAV)捕捉每秒数千帧的高分辨率图像的视频监控系统的情况。针对这种场景,本文提出了一种用于视频监控系统的触觉互联网架构。定义了一个基于马尔可夫链的分析模型来评估延迟和工作损失概率,从而使设计人员能够对系统元素进行量纲化,使其符合触觉互联网的要求。
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引用次数: 21
ONOS Intent Monitor and Reroute service: enabling plug&play routing logic ONOS意图监控和重路由服务:启用即插即用路由逻辑
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8460064
D. Sanvito, Daniele Moro, Mattia Gulli, I. Filippini, A. Capone, Andrea Campanella
Software-Defined Networking (SDN) brought an unprecedented flexibility and programmability into computer networks. In order to simplify the management of an SDN network, several high-level languages have been proposed. The Intent Framework provided by Open Network Operating System (ONOS), for example, allows programmers to specify high-level policies without worrying about low-level device details, which are inferred by the controller. In addition, the Intent Framework ensures that the objective is met by transparently re-compiling the intents as a consequence of environment changes (e.g. link failures). In this work we extend the Intent Framework to make it able to both compile multiple intents together and to re-optimize their paths according to the network state based on flow statistics. We present Intent Monitor and Reroute service, a new ONOS module to optimize traffic forwarding of any ONOS applications based on intents, via an external plug&play routing logic with no modifications to ONOS applications at all. Finally we evaluate the benefits by enhancing the ONOS SDN-IP application with an adaptive Robust Traffic Engineering algorithm.
软件定义网络(SDN)为计算机网络带来了前所未有的灵活性和可编程性。为了简化SDN网络的管理,已经提出了几种高级语言。例如,开放网络操作系统(ONOS)提供的意图框架允许程序员指定高级策略,而不必担心由控制器推断的低级设备细节。此外,意图框架通过透明地重新编译环境变化(例如链接失败)的意图来确保目标得到满足。在这项工作中,我们扩展了意图框架,使其能够同时编译多个意图,并根据基于流量统计的网络状态重新优化它们的路径。我们提出意图监控和重新路由服务,这是一个新的ONOS模块,可以通过外部即插即用路由逻辑优化基于意图的任何ONOS应用程序的流量转发,而无需对ONOS应用程序进行任何修改。最后,我们评估了使用自适应鲁棒流量工程算法增强ONOS SDN-IP应用的好处。
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引用次数: 28
Optimized Service Chain Mapping and reduced flow processing with Application-Awareness 利用应用感知优化了服务链映射,减少了流程处理
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8459912
D. Anantha, B. Ramamurthy, B. Bockelman, D. Swanson
Network Function Virtualization (NFV) brings a new set of challenges when deploying virtualized services on commercial-off-the-shelf (COTS) hardware. Network functions can be dynamically managed to provide the necessary services on-demand and further, services can be chained together to form a larger composite. In this paper, we address an important technical problem of mapping service function chains (SFCs) across different data centers with the objective of reducing the flow processing costs. We develop an integer linear programming (ILP) formulation to optimally map service function chains to multiple data centers while adhering to the data center's capacity constraints. We propose a novel application-aware flow reduction (AAFR) algorithm to simplify the SFC-ILP to significantly reduce the number of flows processed by the SFCs. We perform a thorough study of the SFC mapping problem for multiple data centers and evaluate the performance of our proposed approach with respect to three parameters: i) impact of number of SFCs and SFC length on flow processing cost, ii) capacitated/uncapacitated flow processing cost gains, and iii) balancing flow-to-SFC mappings across data centers. Our evaluations show that our proposed AAFR algorithm reduces flow-processing costs by 70% for the capacitated-SFC mapping case over the SFC-ILP. In addition, our uncapacitated AAFR (AAFR-U) algorithm provides a further 4.1% cost-gain over its capacitated counterpart (AAFR-C).
当在商用现货(COTS)硬件上部署虚拟化服务时,网络功能虚拟化(NFV)带来了一系列新的挑战。可以对网络功能进行动态管理,以按需提供必要的服务,此外,还可以将服务链接在一起,形成更大的组合。在本文中,我们解决了跨不同数据中心映射服务功能链(sfc)的一个重要技术问题,目的是降低流处理成本。我们开发了一个整数线性规划(ILP)公式来优化映射服务功能链到多个数据中心,同时坚持数据中心的容量限制。我们提出了一种新的应用感知流减少(AAFR)算法来简化SFC-ILP,以显着减少sfc处理的流数量。我们对多个数据中心的SFC映射问题进行了深入的研究,并根据以下三个参数评估了我们提出的方法的性能:i) SFC数量和SFC长度对流处理成本的影响,ii)有能力/无能力的流处理成本收益,以及iii)平衡数据中心之间的流到SFC映射。我们的评估表明,我们提出的AAFR算法在SFC-ILP的容能sfc映射情况下将流处理成本降低了70%。此外,我们的无容量AAFR (AAFR- u)算法比其有容量AAFR- c算法提供了4.1%的成本收益。
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引用次数: 3
A Green VNF-FG Embedding Algorithm 一种绿色VNF-FG嵌入算法
Pub Date : 2018-06-01 DOI: 10.1109/NETSOFT.2018.8460013
Oussama Soualah, Marouen Mechtri, Chaima Ghribi, D. Zeghlache
This paper proposes an Integer Linear Program (ILP) to address the Virtualized Network Function Forwarding Graph (VNF-FG) placement and chaining problem when VNFs are shared across tenants to optimize resource usage and increase provider revenue. Since ILP approaches do not scale well with problem size, the proposed algorithm selects a limited number of candidate hosts from the infrastructure to control complexity. The proposed on line ILP based heuristic is shown to outperform a tree based algorithm from the state of the art that relies also on sharing of VNFs to improve resource utilization. Results from extensive simulations report the achieved performance improvements in terms of rejection of service requests, energy consumption, scalability and attained revenues. Limiting the number of candidate hosts is an efficient way to tune the ILP to ensure scalability and to find good VNF-FG placement solutions for large problem sizes.
本文提出了一种整数线性规划(ILP)来解决虚拟网络功能转发图(VNF-FG)在租户之间共享时的放置和链接问题,以优化资源使用并增加提供商收入。由于ILP方法不能很好地随问题规模扩展,因此该算法从基础设施中选择有限数量的候选主机以控制复杂性。所提出的基于在线ILP的启发式算法被证明优于基于树的算法,该算法也依赖于共享vnf来提高资源利用率。大量模拟的结果报告了在拒绝服务请求、能源消耗、可伸缩性和获得的收入方面实现的性能改进。限制候选主机的数量是优化ILP以确保可伸缩性和为大型问题找到良好的VNF-FG放置解决方案的有效方法。
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引用次数: 13
期刊
2018 4th IEEE Conference on Network Softwarization and Workshops (NetSoft)
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