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

Cloud-native SDN Controller Based on Micro-Services for Transport Networks 基于微服务的传输网络云原生SDN控制器

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165377

C. Manso, R. Vilalta, R. Casellas, R. Martínez, R. Muñoz

引用次数: 2

Location-based Data Model for Optimized Network Slice Placement 基于位置的优化网络片放置数据模型

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165427

José Jurandir Alves Esteves, Amina Boubendir, F. Guillemin, Pierre Sens

引用次数: 10

Regressor Relearning Architecture Adapting to Traffic Trend Changes in NFV Platforms 适应NFV平台流量趋势变化的回归再学习架构

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165449

Takahiro Hirayama, M. Jibiki, Ved P. Kafle

{"title":"Regressor Relearning Architecture Adapting to Traffic Trend Changes in NFV Platforms","authors":"Takahiro Hirayama, M. Jibiki, Ved P. Kafle","doi":"10.1109/NetSoft48620.2020.9165449","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165449","url":null,"abstract":"Network function virtualization (NFV) enables network operators to flexibly provide diverse virtualized functions for services such as Internet of things (IoT) and mobile applications. NFV platforms are required to offer stable and guaranteed quality-of-service (QoS)even during dynamically changing resource demands and traffic volumes. To meet the QoS requirements against time-varying network environments, infrastructure providers must dynamically adjust the amount of computational resources, such as CPU, assigned to virtual network functions (VNFs). To provide agile resource control and adaptiveness, predicting the virtual server load via machine learning technologies is an effective approach for proactive control. In this paper, we propose a traffic prediction framework based on ensemble learning, comprising weak regressors trained by ML models, such as recurrent neural networks (RNNs), random forest, and elastic net. It was observed that the prediction error tends to worsen with time because the gap of trends between the past and future traffics becomes wider. Therefore, to reduce the prediction errors, we propose an adjustment mechanism for regressors based on forgetting and dynamic ensemble. The evaluation result with real traffic data verified that the resource adjustment scheme based on the proposed traffic prediction framework keeps the frequency of over and under provisioning low, which is lesser by 45% in comparison to RNNs and autoregressive moving average (ARMA).","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"70 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":"116679540","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: 4

Copyright 版权

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/netsoft48620.2020.9165413

引用次数: 0

5G-TRANSFORMER meets Network Service Federation: design, implementation and evaluation 5G-TRANSFORMER满足网络服务联盟:设计、实施和评估

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165473

J. Baranda, J. Mangues‐Bafalluy, R. Martínez, L. Vettori, Kiril Antevski, C. Bernardos, Xi Li

{"title":"5G-TRANSFORMER meets Network Service Federation: design, implementation and evaluation","authors":"J. Baranda, J. Mangues‐Bafalluy, R. Martínez, L. Vettori, Kiril Antevski, C. Bernardos, Xi Li","doi":"10.1109/NetSoft48620.2020.9165473","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165473","url":null,"abstract":"5G networks require flexibility, automation and programmability to satisfy the requirements of verticals industries. 5G-TRANSFORMER project proposes an SDN/NFV based network platform to enable this vision. Among its features, this platform allows the end-to-end deployment of parts of a network service (NS) in multiple administrative domains, which is known as network service federation (NSF). This feature increases network flexibility, opening the door to new business models. This paper complements our previous work by providing a detailed description of the 5G-TRANSFORMER NSF workflow, its interface and a profiling of the operations involved in the deployment of an NS between multiple administrative domains in a real experimental setup. Experimental results reveal i) that a federated NS can be deployed in the order of few minutes (less than 5 minutes), in line with the 5G target of reducing service setup to minutes, and ii) the impact of the NSF procedure in the deployment time is reduced when compared with the deployment of the same NS in a single administrative domain.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"16 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":"116529653","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

On Optimizing Resource Utilization in AVC-based Real-time Video Streaming 基于avc的实时视频流资源利用优化研究

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165450

A. Erfanian, F. Tashtarian, Reza Farahani, C. Timmerer, H. Hellwagner

{"title":"On Optimizing Resource Utilization in AVC-based Real-time Video Streaming","authors":"A. Erfanian, F. Tashtarian, Reza Farahani, C. Timmerer, H. Hellwagner","doi":"10.1109/NetSoft48620.2020.9165450","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165450","url":null,"abstract":"Real-time video streaming traffic and related applications have witnessed significant growth in recent years. However, this has been accompanied by some challenging issues, predominantly resource utilization. IP multicasting, as a solution to this problem, suffers from many problems. Using scalable video coding could not gain wide adoption in the industry, due to reduced compression efficiency and extra computational complexity. The emerging software-defined networking (SDN) and network function virtualization (NFV) paradigms enable researchers to cope with IP multicasting issues in novel ways. In this paper, by leveraging the SDN and NFV concepts, we introduce a cost-aware approach to provide advanced video coding (AVC) -based real-time video streaming services in the network. In this study, we use two types of virtualized network functions (VNFs): virtual reverse proxy (VRP) and virtual transcoder (VTF) functions. At the edge of the network, VRPs are responsible for collecting clients' requests and sending them to an SDN controller. Then, executing a mixed-integer linear program (MILP) determines an optimal multicast tree from an appropriate set of video source servers to the optimal group of transcoders. The desired video is sent over the multicast tree. The VTFs transcode the received video segments and stream to the requesting VRPs over unicast paths. To mitigate the time complexity of the proposed MILP model, we propose a heuristic algorithm that determines a near-optimal solution in a reasonable amount of time. Using the MiniNet emulator, we evaluate the proposed approach and show it achieves better performance in terms of cost and resource utilization in comparison with traditional multicast and unicast approaches.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"119 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":"116612692","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: 11

Detection of Insider Threats using Artificial Intelligence and Visualisation 使用人工智能和可视化检测内部威胁

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165337

Vasileios Koutsouvelis, S. Shiaeles, B. Ghita, G. Bendiab

引用次数: 6

5GOS: Demonstrating multi-domain orchestration of end-to-end virtual RAN services 5GOS:演示端到端虚拟RAN服务的多域编排

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165314

D. Camps-Mur, Ferran Cañellas, A. Machwe, Jorge Paracuellos, Konstantinos Choumas, D. Giatsios, T. Korakis, Hadi Razzaghi Kouchaksaraei

引用次数: 1

Collaborative Cyber Attack Defense in SDN Networks using Blockchain Technology 基于区块链技术的SDN网络协同网络攻击防御

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165396

Mehrdad Hajizadeh, Nima Afraz, M. Ruffini, T. Bauschert

{"title":"Collaborative Cyber Attack Defense in SDN Networks using Blockchain Technology","authors":"Mehrdad Hajizadeh, Nima Afraz, M. Ruffini, T. Bauschert","doi":"10.1109/NetSoft48620.2020.9165396","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165396","url":null,"abstract":"The legacy security defense mechanisms cannot resist where emerging sophisticated threats such as zero-day and malware campaigns have profoundly changed the dimensions of cyber-attacks. Recent studies indicate that cyber threat intelligence plays a crucial role in implementing proactive defense operations. It provides a knowledge-sharing platform that not only increases security awareness and readiness but also enables the collaborative defense to diminish the effectiveness of potential attacks. In this paper, we propose a secure distributed model to facilitate cyber threat intelligence sharing among diverse participants. The proposed model uses blockchain technology to assure tamper-proof record-keeping and smart contracts to guarantee immutable logic. We use an open-source permissioned blockchain platform, Hyperledger Fabric, to implement the blockchain application. We also utilize the flexibility and management capabilities of Software-Defined Networking to be integrated with the proposed sharing platform to enhance defense perspectives against threats in the system. In the end, collaborative DDoS attack mitigation is taken as a case study to demonstrate our approach.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"13 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":"128625342","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: 16

Impact of Slice Granularity in Centralization Benefit of 5G Radio Access Network 切片粒度对5G无线接入网集中化效益的影响

2020 6th IEEE Conference on Network Softwarization (NetSoft) Pub Date : 2020-06-01 DOI: 10.1109/NetSoft48620.2020.9165366

Nabhasmita Sen, Antony A Franklin

{"title":"Impact of Slice Granularity in Centralization Benefit of 5G Radio Access Network","authors":"Nabhasmita Sen, Antony A Franklin","doi":"10.1109/NetSoft48620.2020.9165366","DOIUrl":"https://doi.org/10.1109/NetSoft48620.2020.9165366","url":null,"abstract":"5G Mobile network will reap the benefits from key technologies like Software Defined Networking and Network Function Virtualization. Cloud Radio Access Network architecture (Cloud RAN) is proven to be a promising architecture, but fully centralized Cloud RAN imposes a great bandwidth requirement in the fronthaul link. Different functional split options for 5G RAN have been proposed which lead to a trade-off between centralization and bandwidth requirement. Functional split at different granularity such as per cell, per logical network (slice), per user, or per bearer, have been an area of interest. To explore the effect of slice granularity in adaptive splits for slices, we formulate slice centric functional split in 5G RAN as an ILP to maximize centralization of baseband processing. By varying the slice granularity from macro slicing to micro slicing, we observe how slice centric split can impact centralization benefit of the network. We show that with increasing slice granularity slice centric split can render more centralization benefit in some scenarios but a trade off exists between centralization benefit and migration cost in the network which should be carefully considered in real deployment scenario.","PeriodicalId":239961,"journal":{"name":"2020 6th IEEE Conference on Network Softwarization (NetSoft)","volume":"5 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131746489","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