2020 6th IEEE Conference on Network Softwarization (NetSoft)最新文献_第4页

An SDN-based Framework for Slice Orchestration using In-Band Network Telemetry in IEEE 802.11 基于sdn的IEEE 802.11带内网络遥测切片编排框架

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165358

P. H. Isolani, J. Haxhibeqiri, I. Moerman, J. Hoebeke, J. Márquez-Barja, L. Granville, S. Latré

引用次数: 8

Applying Machine Learning to End-to-end Slice SLA Decomposition 机器学习在端到端切片SLA分解中的应用

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/netsoft48620.2020.9165317

Michael Iannelli, Muntasir Raihan Rahman, Nakjung Choi, Le Wang

{"title":"Applying Machine Learning to End-to-end Slice SLA Decomposition","authors":"Michael Iannelli, Muntasir Raihan Rahman, Nakjung Choi, Le Wang","doi":"10.1109/netsoft48620.2020.9165317","DOIUrl":"https://doi.org/10.1109/netsoft48620.2020.9165317","url":null,"abstract":"5G is set to revolutionize the network service industry with unprecedented use-cases in industrial automation, augmented reality, virtual reality and many other domains. Network slicing is a key enabler to realize this concept, and comes with various SLA requirements in terms of latency, throughput, and reliability. Network slicing is typically performed in an end-to-end (e2e) manner across multiple domains, for example, in mobile networks, a slice can span access, transport and core networks. Thus, if an SLA requirement is specified for e2e services, we need to ensure that the total SLA budget is appropriately proportioned to each participating domain in an adaptive manner. Such an SLA decomposition can be extremely useful for network service operators as they can plan accordingly for actual deployment. In this paper we design and implement an SLA decomposition planner for network slicing using supervised machine learning algorithms. Traditional optimization based approaches cannot deal with the dynamic nature of such services. We design machine learning models for SLA decomposition, based on random forest, gradient boosting and neural network. We then evaluate each class of algorithms in terms of accuracy, sample complexity, and model explainability. Our experiments reveal that, in terms of these three requirements, the gradient boosting and neural network algorithms for SLA decomposition out-perform random forest algorithms, given emulated data sets.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126727242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 8

Enabling Edge Computing Deployment in 4G and Beyond 在4G及以后实现边缘计算部署

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165384

R. Bruschi, F. Davoli, G. Lamanna, C. Lombardo, S. Mangialardi, Jane Frances Pajo

{"title":"Enabling Edge Computing Deployment in 4G and Beyond","authors":"R. Bruschi, F. Davoli, G. Lamanna, C. Lombardo, S. Mangialardi, Jane Frances Pajo","doi":"10.1109/NetSoft48620.2020.9165384","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165384","url":null,"abstract":"While the integration of fourth-generation (4G) networks with Edge Computing technologies would anticipate the improvements foreseen by the coming of 5G, as well as smoothen the transition to the new technology, 4G does not natively support Edge Computing. Therefore, specific functionalities for user-plane integration and isolation of tenant spaces are required for effectively deploying Edge Computing in 4G networks. This paper describes the design of the end-point between the mobile and edge environments that has been integrated in the telecom layer platform of the MATILDA Project. Such end-point, designed in a Virtual Network Function (VNF), allows intercepting and forwarding data and control traffic towards external Data Networks. Instances of this VNF can be horizontally scaled according to a decision policy, which determines the minimum number of instances required for the current load. Results show that the latency ascribable to the VNF processing is sufficiently low to satisfy the delay budget for all 5G use cases up to 10 ms and that the decision policy based on the QoS Class Identifiers (QCIs) allows scaling with the traffic load, while still fulfilling the performance requirements of each application.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127535684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Autonomic Formation of Large-Scale Wireless Mesh Networks 大规模无线网状网络的自主形成

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165483

Sergio Gramacho, Felipe Gramacho, Avani Wildani

引用次数: 0

Low-Overhead Near-Real-Time Flow Statistics Collection in SDN SDN低开销近实时流量统计数据采集

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165421

Kokouvi Bénoît Nougnanke, M. Bruyère, Y. Labit

{"title":"Low-Overhead Near-Real-Time Flow Statistics Collection in SDN","authors":"Kokouvi Bénoît Nougnanke, M. Bruyère, Y. Labit","doi":"10.1109/NetSoft48620.2020.9165421","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165421","url":null,"abstract":"In Software-Defined Networking, near-real-time collection of flow-level statistics provided by OpenFlow (e.g. byte count) is needed for control and management applications like traffic engineering, heavy hitters detection, attack detection, etc. The practical way to do this near-real-time collection is a periodic collection at high frequency. However, periodic polling may generate a lot of overheads expressed by the number of OpenFlow request and reply messages on the control network. To handle these overheads, adaptive techniques based on the pull model were proposed. But we can do better by detaching from the classical OpenFlow request-reply model for the particular case of periodic statistics collection. In light of this, we propose a push and prediction based adaptive collection to handle efficiently periodic OpenFlow statistics collection while maintaining good accuracy. We utilize the Ryu Controller and Mininet to implement our solution and then we carry out intensive experiments using real-world traces. The results show that our proposed approach can reduce the number of pushed messages up to 75% compared to a fixed periodic collection with a very good accuracy represented by a collection error of less than 0.5%.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

Live Demonstration of Service Function Chaining allocation in Fog Computing 雾计算中业务功能链分配的现场演示

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165338

José Santos, T. Wauters, B. Volckaert, F. Turck

{"title":"Live Demonstration of Service Function Chaining allocation in Fog Computing","authors":"José Santos, T. Wauters, B. Volckaert, F. Turck","doi":"10.1109/NetSoft48620.2020.9165338","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165338","url":null,"abstract":"In recent years, cloud computing is evolving towards a distributed paradigm called Fog Computing, aiming to provide a distributed infrastructure by placing computational resources close to end-users. To fully leverage on Fog Computing, proper resource allocation is needed to cope with the demanding constraints introduced by IoT (e.g. low latency, high mobility). One of the main challenges that remain is Service Function Chaining (SFC). Services must be connected in a specific order forming an SFC allowing providers to benefit from the high flexibility and low operational costs introduced by network softwarization. In the demonstration, an SFC controller able to optimize the placement of service chains in Fog-cloud environments will be presented. The SFC controller has been implemented on the Kubernetes platform, an open-source orchestrator for the automatic deployment of micro-services. Our approach allows Kubernetes to deploy micro-services based on up-to-date information on the current status of the network infrastructure. The demonstration will show how application developers could use our approach to set up service chains for their services. Then, performance outcomes of our SFC controller will be shown, especially in terms of container deployment times.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121977024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Debunking the “Green” NFV Myth: An Assessment of the Virtualization Sustainability in Radio Access Networks 揭穿“绿色”NFV神话:对无线接入网络虚拟化可持续性的评估

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165481

R. Bolla, R. Bruschi, F. Davoli, C. Lombardo, Jane Frances Pajo

{"title":"Debunking the “Green” NFV Myth: An Assessment of the Virtualization Sustainability in Radio Access Networks","authors":"R. Bolla, R. Bruschi, F. Davoli, C. Lombardo, Jane Frances Pajo","doi":"10.1109/NetSoft48620.2020.9165481","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165481","url":null,"abstract":"Since the adoption of virtualization paradigms is seen as a viable way to fulfil the requirements of next-generation applications in a sustainable way, this paper examines the virtualization of the Radio Access Network (RAN), focusing on the C-RAN architecture, in order to better understand the impact of NFV technologies on power consumption and costs in real networks. The evaluation compares the power consumption obtained by deploying the Base Band Unit (BBU) using commercial devices or pools of Virtual Network Functions (VNFs). Publicly available datasets describing the traffic and the eNodeBs have been used for the evaluation, as well as datasheets for both the commercial devices and the VNF pools. Results show that the usage of the virtualized BBU causes consumptions around 250% higher with respect to the commercial deployment, and operation and capital costs over 66% higher, contradicting the common belief of NFV being a “green” technology. Further estimates conducted in this paper, however, highlight how the deployment of VNFs alongside specialized hardware solutions can represent a successful approach for telecom providers, with energy savings up to 20% and costs in line with the ones of dedicated hardware deployments.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125874374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Statistical Characterization of Containerized IP Multimedia Subsystem through Queueing Networks 基于排队网络的容器化IP多媒体子系统的统计表征

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165357

M. Mauro, A. Liotta, M. Longo, F. Postiglione

引用次数: 2

TopoSync-SFC: SFC-aware Network-driven Synchronization of Multicast Traffic in Software-defined Environments TopoSync-SFC:软件定义环境中sfc感知的网络驱动的多播流量同步

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165388

Felix Bachmann, R. Bauer, Hauke Heseding, M. Zitterbart

{"title":"TopoSync-SFC: SFC-aware Network-driven Synchronization of Multicast Traffic in Software-defined Environments","authors":"Felix Bachmann, R. Bauer, Hauke Heseding, M. Zitterbart","doi":"10.1109/NetSoft48620.2020.9165388","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165388","url":null,"abstract":"This paper deals with synchronized multicast reception while considering Service Function Chaining (SFC), i.e., all data packets sent towards a multicast group are first processed by the required service functions and then received by the group members at approximately the same time. This is an important requirement for several distributed applications, e.g., emergency push-to-talk services like TETRA or DMR. The presented TopoSync-SFC approach exploits recent advancements in the fields of Software-defined Networking (SDN) and Network Function Virtualization (NFV) to address synchronization directly inside the network, i.e., no dedicated support for synchronization is required by the applications. It is based on the idea of application-specific SFC-embedding multicast distribution trees that exploit paths of different length in the topology to reduce the variance in packet reception times. We present the architecture for TopoSync-SFC and an ILP-based problem formulation that respects synchronization requirements. The evaluation of a push-to-talk use-case shows that TopoSync-SFC is a significant improvement with respect to synchronized reception over approaches that do not consider synchronization.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130801315","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Priority- and Reservation-based Slicing for Future Vehicular Networks 基于优先级和预留的未来车辆网络切片

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165489

Abdullah A. Al-khatib, Abdelmajid Khelil

引用次数: 3