NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium最新文献_第9页

Setting up flexible and light weight trading with enhanced user privacy using smart contracts 使用智能合约建立灵活和轻量级的交易，增强用户隐私

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406112

Sina Rafati Niya, Florian Shupfer, T. Bocek, B. Stiller

引用次数: 16

Evaluating predictors of congestion collapse in communication networks 评估通信网络中拥塞崩溃的预测因子

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406225

Christopher E. Dabrowski, K. Mills

引用次数: 0

SDN-based hybrid server and link load balancing in multipath distributed storage systems 多路径分布式存储系统中基于sdn的混合服务器与链路负载均衡

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406286

Luis Guillen, S. Izumi, Toru Abe, T. Suganuma, H. Muraoka

引用次数: 9

Energy-saving management mechanism based on hybrid energy supplies in multi-operator shared LTE networks 多运营商共享LTE网络中基于混合能源供应的节能管理机制

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406216

Lu Liu, Ao Xiong, Peng Yu, Lei Feng, Wenjing Li, Xue-song Qiu, Mingxiong Wang

引用次数: 3

Machine learning as a reusable microservice 作为可重用微服务的机器学习

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406165

Marc-Oliver Pahl, Markus Loipfinger

{"title":"Machine learning as a reusable microservice","authors":"Marc-Oliver Pahl, Markus Loipfinger","doi":"10.1109/NOMS.2018.8406165","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406165","url":null,"abstract":"Machine Learning is recently becoming a universal problem solving tool. However, implementing machine learning (ML) into applications is difficult, time intense, and requires expert knowledge. We encapsulate machine learning as a dataoriented microservice that can simply be used to mash up applications with machine learning capabilities. To illustrate the approach we identify three machine learning algorithms that are relevant for the Internet of Things (IoT): Feed-Forward Neural Networks (FFNN), Deep Believe Networks (DBN), and Recurrent Neural Networks (RNN). We analyze those algorithm's characteristic properties and model them as configurations for dynamically linkable REST ML service modules. Our approach strictly separates the algorithm implementation from its configuration. It allows a simple extension with diverse ML algorithms. Following a service oriented design, we implement the training of our neural networks as a separate module. We evaluate how the performance of our solution compares to directly programming the chosen TensorFlow library. Our approach facilitates the implementation of ML-based data analytics significantly by enabling reuse and sharing of executables and configurations. It enables rapid prototyping and an explorative use of ML.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80707213","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: 10

Towards a security monitoring plane for named data networking and its application against content poisoning attack 探讨命名数据网络的安全监控平面及其在防范内容中毒攻击中的应用

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406246

H. Mai, Tan N. Nguyen, G. Doyen, R. Cogranne, Wissam Mallouli, Edgardo Montes de Oca, O. Festor

{"title":"Towards a security monitoring plane for named data networking and its application against content poisoning attack","authors":"H. Mai, Tan N. Nguyen, G. Doyen, R. Cogranne, Wissam Mallouli, Edgardo Montes de Oca, O. Festor","doi":"10.1109/NOMS.2018.8406246","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406246","url":null,"abstract":"Named Data Networking (NDN) is the most mature proposal of the Information Centric Networking paradigm, a clean-slate approach for the Future Internet. Although NDN was designed to tackle security issues inherent to IP networks natively, newly introduced security attacks in its transitional phase threaten NDN's practical deployment. Therefore, a security monitoring plane for NDN is indispensable before any potential deployment of this novel architecture in an operating context by any provider. We propose an approach for the monitoring and anomaly detection in NDN nodes leveraging Bayesian Network techniques. A list of monitored metrics is introduced as a quantitative measure to feature the behavior of an NDN node. By leveraging the hypothesis testing theory, a micro detector is developed to detect whenever the metric significantly changes from its normal behavior. A Bayesian network structure that correlates alarms from micro detectors is designed based on the expert knowledge of the NDN specification and the NFD implementation. The relevance and performance of our security monitoring approach are demonstrated by considering the Content Poisoning Attack (CPA), one of the most critical attacks in NDN, through numerous experiment data collected from a real NDN deployment.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83720092","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: 14

Risk modeling and optimization approach for system protection communication networks 系统保护通信网络的风险建模与优化方法

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406320

Xinting Hu, Wenjing Li, Peng Yu, Fangzheng Chen, Fangzheng Chen, Yuan Tian

引用次数: 2

Real-time detection, isolation and monitoring of elephant flows using commodity SDN system 利用商品SDN系统对大象流进行实时检测、隔离和监控

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406200

S. Madanapalli, Minzhao Lyu, Himal Kumar, H. Gharakheili, V. Sivaraman

{"title":"Real-time detection, isolation and monitoring of elephant flows using commodity SDN system","authors":"S. Madanapalli, Minzhao Lyu, Himal Kumar, H. Gharakheili, V. Sivaraman","doi":"10.1109/NOMS.2018.8406200","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406200","url":null,"abstract":"Operators of enterprise and carrier networks in-creasingly require real-time visibility into traffic patterns in their network, so they can do better resource management (congestion detection, dynamic routing, capacity scheduling) and security protection (detection of intrusions and volumetric attacks). Of particular interest are elephant flows that transfer large volumes, since they demand most resources and can inflict most damage. Today's techniques for detecting and monitoring elephant flows are based on software-based packet analysis or hardware-based inspection, which are either unscalable or expensive. In this paper we design, implement, and evaluate an SDN-based solution that is scalable (to tens of Gigabits-per-second) and inexpensive (built using commodity OpenFlow switches). We first develop a system architecture that judiciously combines software packet inspection with hardware flow-table counters to identify and monitor heavy flows. We then use real traffic traces taken from a campus network to tune our algorithm parameters for desired trade-off between software load and hardware table size. Finally, we prototype our solution on a commodity OpenFlow hardware switch together with open-source controller and packet inspection software, and demonstrate operation at 10Gbps in a real campus network.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73989214","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

Optimized XG-PON DBA mechanism for front-haul upstream traffic in virtualized small cell cloud-RAN architecture 针对虚拟化小蜂窝云- ran架构中前传上行流量的XG-PON DBA机制进行了优化

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406259

Ahmed Mohammed Mikaeil, Weisheng Hu

{"title":"Optimized XG-PON DBA mechanism for front-haul upstream traffic in virtualized small cell cloud-RAN architecture","authors":"Ahmed Mohammed Mikaeil, Weisheng Hu","doi":"10.1109/NOMS.2018.8406259","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406259","url":null,"abstract":"Time division multiplexing passive optical networks (TDM-PONs) technologies are viewed as an attractive solution for flexible and cost-effective mobile front-haul for dense deployment of small cells in cloud radio access network (C-RAN) architecture. Due to the high latency of upstream transmission in TDM-PON because of using a dynamic bandwidth allocation (DBA) mechanism to share the upstream bandwidth, it is a challenge for TDM-PON to meet the strict latency requirement of C-RAN mobile front-haul. Several DBA mechanisms have been proposed in the literature to address this issue for IEEE Ethernet passive optical network (i.e. 10G-EPON) based mobile front-haul. However, ITU TDM-PON such as XG-PON have not yet even been explored in the context of mobile front-haul. In this paper, we present an optimized XG-PON-compliant DBA mechanism called Optimized-Round Robin (Optimized-RR) to support front-haul traffic transport over XG-PON in virtualized small-cell C-RAN architecture. We evaluate its performance in terms of delay, jitter and packet loss over a dynamic data rate mobile front-haul traffic by comparing it with two other recently proposed XG-PON- compliant DBAs namely, Group Assured GIANT (g GIANT) and simple Round-Robin (RR-DBA) DBAs. The performance evaluation results not only show its significant improvement in terms of upstream delay and utilization, but also show a lower packet loss and jitter for aggregated small cells front-haul traffic when comparing it to gGIANT and RR-DBA.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81621501","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

Model-based flow delegation for improving SDN infrastructure compatibility 用于改进SDN基础架构兼容性的基于模型的流委托

NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium Pub Date : 2018-04-23 DOI: 10.1109/NOMS.2018.8406230

Felipe A. Lopes, Pablo G. S. Tiburcio, R. Bauer, S. Fernandes, M. Zitterbart

{"title":"Model-based flow delegation for improving SDN infrastructure compatibility","authors":"Felipe A. Lopes, Pablo G. S. Tiburcio, R. Bauer, S. Fernandes, M. Zitterbart","doi":"10.1109/NOMS.2018.8406230","DOIUrl":"https://doi.org/10.1109/NOMS.2018.8406230","url":null,"abstract":"Software-Defined Networking (SDN) allows fine granular control by applications running in the network control plane, facilitating the management, orchestration, and deployment of network services. However, the diversity of application, protocols, and switches makes the task of developing applications for such networks very complex. Besides, such heterogeneity makes it harder to support the manifold requirements that may arise from different control plane applications and to verify if the underlying infrastructure satisfies the requirements from these applications. In this paper, we propose a two-phase solution for this problem, extending the Model-Driven Networking (MDN) framework for: i) enabling it to model infrastructure capabilities, so that we can verify if these capabilities could satisfy applications requirements; and ii) applying a flow delegation technique to leverage the set of network capabilities in order to support applications requirements. Our experiments demonstrate that our flow delegation mechanism not only improves the network compatibility but also achieves better bandwidth usage and jitter ratios ^22% lower when considering QoS requirements.","PeriodicalId":19331,"journal":{"name":"NOMS 2018 - 2018 IEEE/IFIP Network Operations and Management Symposium","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2018-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77113503","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