2022 13th International Conference on Network of the Future (NoF)最新文献_第2页

Proceedings of the 2022 13th International Conference on the Network of the Future (NoF 2022) 2022年第13届未来网络国际会议论文集(NoF 2022)

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/nof55974.2022.9942638

引用次数: 0

Photonic-aware Neural Networks for Packet Classification in Beyond 5G Networks 超5G网络中用于分组分类的光子感知神经网络

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942486

E. Paolini, F. Civerchia, L. D. Marinis, L. Valcarenghi, Luca Maggiani, N. Andriolli

{"title":"Photonic-aware Neural Networks for Packet Classification in Beyond 5G Networks","authors":"E. Paolini, F. Civerchia, L. D. Marinis, L. Valcarenghi, Luca Maggiani, N. Andriolli","doi":"10.1109/NoF55974.2022.9942486","DOIUrl":"https://doi.org/10.1109/NoF55974.2022.9942486","url":null,"abstract":"The benefits introduced by novel network technologies such as 5G and beyond, including low latency and support for billions of devices, have the potential to transform the lives of people. However, the features promised by these new technologies have also attracted malicious actors, with various motivations for attacking the network infrastructure, from cybercrime-based frauds to political goals. Thus, to enable the full potential of the emerging network technologies, it is necessary to take into accounts these attacks and develop tailored countermeasures. One future direction in mitigating the risks of potential attacks is the automatic classification of malicious packets, with the possibility to drop them if classified in the attack category. Hence, in this context, we propose a solution based on Neural Networks (NNs) to automatically classify packets into two classes, i.e., benign and attack, directly in the Radio Access Network (RAN), specifically inspecting packets when they are relayed at the next generation eNB (gNB)-Central Unit (CU) level. Since NNs can be computationally intensive algorithms, potentially increasing the latency of the network, we decide to leverage Photonic-Aware Neural Network (PANN), photonic accelerators able to perform NN computations in the analog optical domain and with time-of-flight latency. We devised two different PANN architectures, considering different photonic constraints. The classification performance of the two architectures has been assessed on the CICIDS-2017 dataset and compared with electronic counterparts. Results proved that the F1-score loss due to underlying hardware constraints is negligible, paving the way for PANN applications in next generation networks.","PeriodicalId":223811,"journal":{"name":"2022 13th International Conference on Network of the Future (NoF)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134343396","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

Implementation of Techniques for Enhancing Security of Southbound Infrastructure in SDN SDN中增强南向基础设施安全技术的实现

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942644

U. Tupakula, K. Karmakar, V. Varadharajan, Ben Collins

引用次数: 0

Integration of 5G connectivity with the Asset Administration Shell in Industry 4.0 工业4.0中5G连接与资产管理外壳的集成

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942471

D. Rossi, Giacomo Tontini, D. Borsatti, F. Callegati

引用次数: 0

Bandwidth Prediction in 5G Mobile Networks Using Informer 基于Informer的5G移动网络带宽预测

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942521

Tahmina Azmin, mohamadreza ahmadinejad, Nashid Shahriar

{"title":"Bandwidth Prediction in 5G Mobile Networks Using Informer","authors":"Tahmina Azmin, mohamadreza ahmadinejad, Nashid Shahriar","doi":"10.1109/NoF55974.2022.9942521","DOIUrl":"https://doi.org/10.1109/NoF55974.2022.9942521","url":null,"abstract":"Fifth-generation (5G) mobile networks aspire to deliver exceptionally high data rates with ultra-reliable and low-latency connectivity. With the growing popularity of mobile Internet and the increased bandwidth requirements of mobile applications, user Quality of Experience (QoE) is becoming increasingly critical. 5G networks demand predicting the real-time bandwidth of a channel to satisfy the QoE for bandwidth-savvy applications such as video streaming/conferencing, vir-tual/augmented/mixed reality, and autonomous driving. If future bandwidth can be forecast in advance, the bandwidthhungry applications may utilize the estimates to adapt their data transmission rates and dramatically enhance user QoE. By analyzing a publicly available 5G dataset comprised of the channel, context, and cell-related metrics with throughput information, existing work has used Long Short Term Memory (LSTM) based mechanisms to predict future bandwidth. We applied the Transformer-based model, namely ‘Informer,’ to the 5G dataset and found significant improvement of about 95% error decrease for bandwidth prediction. In addition, we combined some new feature analysis approaches (LASSO and Random Forest with new hyper-parameters) in addition to the the existing Random Forest with Informer to find out the most accurate prediction approach.","PeriodicalId":223811,"journal":{"name":"2022 13th International Conference on Network of the Future (NoF)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128808526","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: 0

Availability and Failure Rate of VNF Instances: Impacting Parameters and Calculation Methods VNF实例的可用性和故障率:影响参数和计算方法

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942599

Siamak Azadiabad, F. Khendek, M. Toeroe

引用次数: 1

A Multi-objective Optimization Approach for SDVN Controllers Placement Problem SDVN控制器布局问题的多目标优化方法

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942578

Lylia Alouache, S. Yassa, Abdelouhab Ahfir

{"title":"A Multi-objective Optimization Approach for SDVN Controllers Placement Problem","authors":"Lylia Alouache, S. Yassa, Abdelouhab Ahfir","doi":"10.1109/NoF55974.2022.9942578","DOIUrl":"https://doi.org/10.1109/NoF55974.2022.9942578","url":null,"abstract":"The Software Defined Networking (SDN) paradigm consist of decoupling the control from the data plane. Recently, the adoption of the SDN paradigm as the basic architecture for Vehicular networks (SDVN) coupled with the 5G promises to accelerate the Intelligent Transport Services and smart cities deployment. However, it raises many challenges generated mainly by the dynamic nature of the vehicular network and the centralized aspect of the control plane. The distributed control plane has been identified as suitable architecture for such environment. Hence, this study focuses on the SDVN Controller Placement Problem (CPP). Previously, several researches addressed this problem in the context of wired networks by considering primary metrics such as control path latency and controller capacity. In this paper, we propose to adopt a multi-objective optimization approach to elect the nodes designated as controllers. The election is done by considering different conflicting metrics: number of controllers, latency, load balancing metric and a key metric in distributed system, i.e: clock offset between the controllers and the vehicular network nodes for controllers synchronization. The multi-objective genetic algorithm is used to solve this multi-objective optimization problem and create a compromise controllers placement solution. Two topology models have been considered to evaluate the performances. The analysis of the simulation results shows the feasibility of our algorithm. The simulation gives promising results in both scenarios.","PeriodicalId":223811,"journal":{"name":"2022 13th International Conference on Network of the Future (NoF)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122486952","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: 0

Energy-aware online task dispatching and scheduling for edge systems with energy harvesting 基于能量收集的边缘系统的能量感知在线任务调度

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942573

Mu Yuan, N. Freris

引用次数: 0

Green Edge Servers Placement for Intelligent Transport Systems 智能交通系统的绿色边缘服务器配置

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942580

Sabri Khamari, Rachedi Abdennour, T. Ahmed, M. Mosbah

{"title":"Green Edge Servers Placement for Intelligent Transport Systems","authors":"Sabri Khamari, Rachedi Abdennour, T. Ahmed, M. Mosbah","doi":"10.1109/NoF55974.2022.9942580","DOIUrl":"https://doi.org/10.1109/NoF55974.2022.9942580","url":null,"abstract":"Edge computing empowers service providers to deploy smart vehicles applications that require high throughput and extremely low latency. In this context, optimal Edge servers' placement becomes more difficult since it requires addressing several interrelated requirements at the same time, such as delay, deployment cost, and energy consumption. This paper studies optimal Edge server placement for energy efficiency. The proposed approach, called Green Optimal Edge Server Placement (GOESP), models the placement problem using integer linear programming to address the trade-off between latency, energy, and deployment cost while considering Edge servers' capacity and expected vehicle's traffic on the road. GOESP minimizes the energy consumption by minimizing the number of deployed Edge servers while meeting end-to-end communication latency and avoiding servers' overloading. We evaluate the efficiency of our approach mathematically and through simulations utilizing real-world traffic extracted from open data of Bordeaux city, France. The results demonstrate that our technique outperforms other methods in terms of energy efficiency and guarantees latency and workload balancing requirements.","PeriodicalId":223811,"journal":{"name":"2022 13th International Conference on Network of the Future (NoF)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130679617","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

A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management 基于智能网络交换机数据流管理的网络流量动态优化算法

2022 13th International Conference on Network of the Future (NoF) Pub Date : 2022-10-05 DOI: 10.1109/NoF55974.2022.9942601

Souryendu Das, Wei Lian, Stavros Kalafatis, P. Lazaridis

{"title":"A Dynamic Algorithm for Optimization of Network Traffic through Smart Network Switch Data Flow Management","authors":"Souryendu Das, Wei Lian, Stavros Kalafatis, P. Lazaridis","doi":"10.1109/NoF55974.2022.9942601","DOIUrl":"https://doi.org/10.1109/NoF55974.2022.9942601","url":null,"abstract":"Networking affects our daily interaction with the digital world. Advancements in Smart Device technology have led to the need for faster, more power-efficient, and error-free networks. Networking protocols, such as TCP and UDP, were originally designed without these new requirements and now face significant challenges in adapting to those goals i.e., efficiently handling congestion delays in switching networks, increasing production costs, and higher packet losses. In this paper, we propose the Smart Switch Dynamic Delay Algorithm (SSDDA) which takes into consideration multiple factors including link utilization, application-level throughput (goodput), packet loss, and queuing delay of the TCP/UDP link. The application is in datacenter switches where the switching could be moved from centralized controller to decentralized data path and programmable smart switches. Continuous feedback from the network enables SSDDA to estimate delay and modify packet flows for optimal performance. Simulation results using NS3 in a fat tree topology are carried out validating the algorithmic benefits of SSDDA.","PeriodicalId":223811,"journal":{"name":"2022 13th International Conference on Network of the Future (NoF)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122397725","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