2016 IEEE NetSoft Conference and Workshops (NetSoft)最新文献

NDN.p4: Programming information-centric data-planes NDN。p4:编程以信息为中心的数据平面

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502472

S. Signorello, R. State, J. François, O. Festor

引用次数: 36

Online resource mapping for SDN network hypervisors using machine learning 使用机器学习的SDN网络管理程序的在线资源映射

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502447

Christian Sieber, A. Basta, Andreas Blenk, W. Kellerer

{"title":"Online resource mapping for SDN network hypervisors using machine learning","authors":"Christian Sieber, A. Basta, Andreas Blenk, W. Kellerer","doi":"10.1109/NETSOFT.2016.7502447","DOIUrl":"https://doi.org/10.1109/NETSOFT.2016.7502447","url":null,"abstract":"The visualization of Software-Defined Networks (SDN) allows multiple tenants to share the same physical infrastructure and to use their own SDN controllers. SDN virtualization is achieved through an SDN network hypervisor that operates between the tenants' controllers and the SDN infrastructure. In order to provide performance guarantees, resource mapping is required for both data plane as well as control plane for each virtual SDN network. In the context of SDN virtualization, the control plane resources include the network hypervisor, which needs to be assigned to guarantee the performance for each tenant. In previous work, the hypervisor resource mapping is based on offline benchmarks that measure the hypervisor resource consumption against the control plane work load, e.g., control plane message rate. These offline benchmarks vary across different hypervisor implementations, e.g., single or multi-threaded, and depend on the capabilities of the deployed hardware platform, e.g., the used CPU. We propose an online approach based on machine learning techniques to determine the mapping of hypervisor resources to the control workload at runtime. This concept is already successfully applied in the context of self-configuring networks. We propose three models to estimate hypervisor resources and compare them for two SDN hypervisor implementations, namely FlowVisor and OpenVirteX. We show through measurements on a real virtualized SDN infrastructure that resource mappings can be learned on runtime with insignificant error margins.","PeriodicalId":223733,"journal":{"name":"2016 IEEE NetSoft Conference and Workshops (NetSoft)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124738634","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: 13

TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment 迈向用于多pop NFV部署的编排平台的步骤

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502419

J. Riera, Josep Batalle, José Bonnet, Miguel Dias, M. Mcgrath, G. Petralia, F. Liberati, A. Giuseppi, A. Pietrabissa, A. Ceselli, A. Petrini, M. Trubian, Panagiotis Papadimitriou, David Dietrich, Aurora Ramos, Javier Melian, G. Xilouris, A. Kourtis, T. Kourtis, E. Markakis

{"title":"TeNOR: Steps towards an orchestration platform for multi-PoP NFV deployment","authors":"J. Riera, Josep Batalle, José Bonnet, Miguel Dias, M. Mcgrath, G. Petralia, F. Liberati, A. Giuseppi, A. Pietrabissa, A. Ceselli, A. Petrini, M. Trubian, Panagiotis Papadimitriou, David Dietrich, Aurora Ramos, Javier Melian, G. Xilouris, A. Kourtis, T. Kourtis, E. Markakis","doi":"10.1109/NETSOFT.2016.7502419","DOIUrl":"https://doi.org/10.1109/NETSOFT.2016.7502419","url":null,"abstract":"Network Functions Visualization is focused on migrating traditional hardware-based network functions to software-based appliances running on standard high volume severs. There are a variety of challenges facing early adopters of Network Function Virtualizations; key among them are resource and service mapping, to support virtual network function orchestration. Service providers need efficient and effective mapping capabilities to optimally deploy network services. This paper describes TeNOR, a micro-service based network function virtualisation orchestrator capable of effectively addressing resource and network service mapping. The functional architecture and data models of TeNOR are described, as well as two proposed approaches to address the resource mapping problem. Key evaluation results are discussed and an assessment of the mapping approaches is performed in terms of the service acceptance ratio and scalability of the proposed approaches.","PeriodicalId":223733,"journal":{"name":"2016 IEEE NetSoft Conference and Workshops (NetSoft)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125506814","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: 42

FLAME: Flow level traffic matrix estimation using poisson shot-noise process for SDN 火焰:基于泊松弹噪过程的SDN流量矩阵估计

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502453

Yoonseon Han, Taeyeol Jeong, Jae-Hyoung Yoo, J. W. Hong

{"title":"FLAME: Flow level traffic matrix estimation using poisson shot-noise process for SDN","authors":"Yoonseon Han, Taeyeol Jeong, Jae-Hyoung Yoo, J. W. Hong","doi":"10.1109/NETSOFT.2016.7502453","DOIUrl":"https://doi.org/10.1109/NETSOFT.2016.7502453","url":null,"abstract":"Most of network operation/management tasks such as traffic accounting, traffic engineering, and network design require an accurate and timely network Traffic Matrix (TM). A TM presents the network traffic volume between origin and destination (OD) nodes. Many network management methods assumed that an accurate traffic matrix is given by other network entities, but this is not true. To apply those methods in the practice, the first priority challenge is to obtain an accurate and timely TM. Another issue to obtaining TM is to estimate the change of TM in the near future, not just reporting historical traffic measurement results. Meanwhile, Software Defined Networking (SDN) paradigm has attracted a significant interest from industry and academia as a future network architecture. Within SDN environment, many advantages exist compared to traditional IP based network. To acquire an accurate and timely TM for SDN, we propose FLAME, a TM estimation method based on Poisson Shot Noise process. FLAME is designed to take advantages of the SDN paradigm, and it reflects network traffic characterics revealed by current measurement studies. To evaluate FLAME, we compared the estimation results with a real data center network traffic trace. The evaluation results show that the estimated TM is 66.36% similar compared to the measured traffic.","PeriodicalId":223733,"journal":{"name":"2016 IEEE NetSoft Conference and Workshops (NetSoft)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114958363","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

Towards dynamic MPTCP Path control using SDN 利用SDN实现动态MPTCP路径控制

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502424

Hyunwoo Nam, D. Calin, H. Schulzrinne

引用次数: 50

Application specific optimization: Rethinking protocol layering and standards 特定于应用程序的优化:重新思考协议分层和标准

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502430

John Peng, S. G. Wilson

引用次数: 0

A software-defined networking architecture for aerial network optimization 一种用于空中网络优化的软件定义网络架构

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502462

H. Iqbal, Jamie Ma, Ken Stranc, K. Palmer, Peter Benbenek

引用次数: 20

Self-modeling based diagnosis of services over programmable networks 基于自我建模的可编程网络服务诊断

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502423

J. Sánchez, I. B. Yahia, N. Crespi

引用次数: 13

Enabling operation data visibility for SmartX-mini IoT-cloud playground 启用SmartX-mini物联网云游乐场的运营数据可见性

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502480

Seungryong Kim, JongWon Kim

引用次数: 3

NetIDE: All-in-one framework for next generation, composed SDN applications NetIDE:用于下一代组合SDN应用的一体化框架

2016 IEEE NetSoft Conference and Workshops (NetSoft) Pub Date : 2016-06-06 DOI: 10.1109/NETSOFT.2016.7502408

Pedro A. Aranda-Gutiérrez, Elisa Rojas, Arne Schwabe, Christian Stritzke, R. D. Corin, Alec Leckey, G. Petralia, Antonio Marsico, Kevin Phemius, Sergio Tamurejo

引用次数: 8