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International Conference on Information Systems and Computer networks (ISCON)

作者： Saurabh Singhal Rishabh Srivastava R Shyam Deepak Mangal Department of CEA GLA University Mathura Uttar Pradesh India Department of CSE(AIML& Cyber Security) Jain University Bengaluru India Department of CS & IT Jain University Bengaluru India

Although there is a lot of interest in cloud computing, security concerns have prevented it from becoming mainstream. Users of cloud services frequently worry about the loss of data, the compromise of security, and the unavailability of the services at important moments. Security applications that employ learning-based solutions are gaining attraction in the literature thanks to recent advancements. However, the most challenging aspect of these approaches is the objective datasets. Numerous internal datasets are off-limits for public usage for various reasons, including privacy and the possibility of missing statistical information. Even though there is some lacking, researchers are using these datasets for training and testing in experimental settings. Using a single dataset to train a machine learning model often produces misleading findings. How well these models perform when applied to data from a variety of sources and contexts is an open question, although it hasn’t been thoroughly explored in the literature. As, cloud problems are unique, therefore it is crucial to evaluate the performance of these models over a wide range of circumstances. To train the supervised machine learning models used in this research, we make use of the dataset made available by UNSW. For evaluating the performance of these models, we have used the ISOT dataset.

关键词： Training Service function chaining Computational modeling Cloud computing security Machine learning Data models network function virtualization

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A joint orchestration of security and functionality services at network edge

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COMPUTER networkS 2022年 212卷

作者： Qin, Yudong Guo, Deke Luo, Lailong Xu, Ming Natl Univ Def Technol Coll Comp Sci & Technol Changsha Peoples R China Natl Univ Def Technol Sci & Technol Lab Informat Syst Engn Changsha Peoples R China Natl Univ Def Technol State Key Lab High Performance Comp Changsha Peoples R China

Edge computing emerges as a new paradigm to provide low-latency network services in close proximity to end users. Based on the network function virtualization (NFV) technology, network services can be flexibly and scalably provisioned as virtual network function (VNF) chains deployed at edge servers. With such advantages, both the industry and research communities have done extensive studies on deploying VNF chains at network edge. The existing works mainly take an ideal assumption that the network is totally safe and there are no malicious users. Therefore, they leverage all available resources to serve their users. However, such an assumption is impractical in real networks. Security services, such as firewall, deep packet detection, intrusion detection, are always required for production networks. The existing service deployment methods fail to consider the co-existence of security services and functionality services. In this paper, we present the topic of joint deployment of both security and functionality services, wherein the security services are responsible to check the data flows before being processed by the functionality services. To solve this problem, we propose the Secure Deployment Pattern, which aims to simultaneously satisfy the security protection and QoS requirements at network edge. It divides the services into two kinds, i.e., the user-oriented functionality services, and the service provider-oriented security services. In this case, it is very challenging to jointly deploy the security services and functional services with respect to the resource and latency constraints. We formulate this problem as an integer programming model, and propose the heuristic algorithms to solve it. As far as we know, this paper is the first step, which targets at a proper orchestration of security and functionality services in edge computing. Extensive evaluations show that the proposed algorithms are effective and efficient, in terms of the execution time and the

关键词： Edge computing network function virtualization network security

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A Zero Touch Emulation Framework for network Slicing Management in a 5G Core Testbed 17

A Zero Touch Emulation Framework for Network Slicing Managem...

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17th International Conference on network and Service Management, CNSM 2021

作者： Vittal, Shwetha Sarkar, Sourav P S, Prashanth Franklin, Antony Indian Institute of Technology Department of Computer Science and Engineering Hyderabad India

ISBN: (纸本)9783903176362

network slicing is one of the core features of the 5G network to meet the requirements of various network services, namely, enhanced Mobile Broadband (eMBB), ultra Reliable Low Latency Communications (uRLLC), and massive Machine Type Communication (mMTC) by building an isolated virtual network of resources typically in a network function virtualization (NFV) environment. We have built a 3GPP compliant 5G Core (5GC) testbed and enabled network slicing on it to provide eMBB, uRLLC, and mMTC services to end users. In this demonstration, we showcase the capabilities of our zero-touch framework of 5GC network slicing management and orchestration in an NFV environment with the network functions of 5GC and the applications on eMBB and uRLLC slice services. We believe that this work will guide Mobile network Operator (MNO)s in building zero-touch autonomous network slices in 5GC along with their smart management and orchestration in closed loop automation. © 2021 IFIP.

关键词： network function virtualization

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Neural network-Based Traffic Prediction Model with Adaptive Spatial-Temporal Analysis in NFV networks 21

Neural Network-Based Traffic Prediction Model with Adaptive ...

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21st IEEE International Conference on Communication Technology, ICCT 2021

作者： Yu, Fenglei Xu, Zhanqi Yang, Fan Du, Shuang School of Telecomm. Eng Xidian University Xi'an China

ISBN: (纸本)9781665432061

network function virtualization (NFV) aims at satisfying various performance requirements of network services and increasing the performance/cost ratio mostly by decoupling software and hardware. However, network operators in the NFV scenario are facing several challenges in allocating resources and reducing operating expenses due to traffic explosion, and traffic prediction is helpful for operators to tackle this issue. The available models only consider the spatial or temporal correlation among traffic flows, but fail to combine the two aspects. In this paper, a neural network-based model with adaptive spatial-temporal analysis is proposed to predict the future traffic in NFV networks. First, we use the Long Short-Term Memory (LSTM) model to predict the traffic matrixes by capturing the long-term dependency. Then, we put forward a new mechanism to consider the spatial-temporal correlation between the target flow and the other flows in each traffic matrix. Besides, we adaptively select the most relevant flows, which are used to modify the prediction result through the Back Propagation Neural network (BPNN). The experiments show that the proposed model can significantly improve the prediction accuracy compared to the available work. © 2021 IEEE.

关键词： network function virtualization

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Optimal Service Provisioning Schemes for Multi-Layer Fog networks

Optimal Service Provisioning Schemes for Multi-Layer Fog Net...

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2021 IEEE Globecom Workshops, GC Wkshps 2021

作者： Riedl, Anton Siasi, Nazli Christopher Newport University Department of Physics Computer Science and Engineering Newport NewsVA United States

ISBN: (纸本)9781665423908

The deployment of network function virtualization (NFV) in fog networks allows network providers to offer dynamic, delay-sensitive services on top of general purpose hardware. A key challenge is the provisioning of service function chaining (SFC), i.e., the placement of requested virtual network functions (VNF) across the nodes, in ways that make efficient use of the sometimes limited resources while meeting stringent quality of service (QoS) *** this paper we propose a novel optimization scheme for placing VNFs in the network and we apply it to a multi-layer fog architecture composed of heterogeneous global and local fog nodes. The algorithm is based on integer linear programming (ILP) and gives particular consideration to multi-mapping and instance-sharing. Results show that SFC with VNF multi-mapping and instance-sharing generally yields the best resource utilization, along with achieving short delays and high admission rates. © 2021 IEEE.

关键词： network function virtualization

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Research of Power Communication network System Architecture Based on 5G 4

Research of Power Communication Network System Architecture ...

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4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021

作者： Liu, Shan Tang, Baoguo Tian, Yun State Grid Corporation of China Shanxi Electric Power Research Institute Taiyuan China

ISBN: (纸本)9781728185347

the wide application of 5G technology is changing our production and life. Power grid enterprise is regarded as the basic support for the development of the national economy. The power grid is important. Power communication network is the foundation of power grid. Based on the current situation of power communication network and the advantages of 5G technology, this paper put forward the system architecture of power communication network The system architecture adopt network slice technology. This architecture can meet the differentiated needs of power enterprises. And this architecture can make full use of network resources. This approach has a certain reference value. © 2021 IEEE.

关键词： network function virtualization

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Latency and Reliability Aware SDN Controller: A Role Delegation function as a Service

Latency and Reliability Aware SDN Controller: A Role Delegat...

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IEEE Annual Computing and Communication Workshop and Conference (CCWC)

作者： Dinah Wobuyaga Sisay T Arzo Harsh Kumar Fabrizio Granelli Michael Devetsikiotis Department of Information Engineering and Computer Science University of Trento Trento Italy Deutsche Telekom Chair of Communication Networks Technische Universität Dresden Dresden Germany Department of Electrical and Computer Engineering University of New Mexico USA

The emergency of machine type and ultra-reliable low latency communication is imposing stringent constraints for service provisioning. Addressing such constraints is challenging for network and cloud service providers. As a trending paradigm, software-defined networking (SDN) plays a significant role in future networks and services. However, the classical implementation of the SDN controller has limitations in-terms-of latency and reliability since the controller is decoupled from the forwarding device. Several research works have tried to tackle these challenges by proposing solutions such as Devoflow, DIFANE, and hierarchical and distributed controller deployment. Nonetheless, these approaches are not fully addressing these challenges. This paper tries to address the problem of latency and reliability by proposing a dynamic controller role delegation architecture for forwarding devices. To align with the microservice or multi-agent-based service-based architecture, the role delegation function as a service is proposed. The dynamic role delegation enables to predict and (pre-)installed flow rules in the forwarding devices based on various considerations such as network state, packet type, and service's stringent requirements. The proposed architecture is implemented and evaluated for latency and resiliency performance in comparison to the centralized and distributed deployment of the SDN controller. We used ComNetsEmu, a softwarized network emulation tool, to emulate SDN and NFV (network function virtualization). The result indicated a significant decrease in latency and improved resilience in case of failure, yielding better network performance.

关键词： Performance evaluation Conferences Emulation Microservice architectures Computer architecture Ultra reliable low latency communication network function virtualization

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Advanced Scaling Methods for VNF deployment with Reinforcement Learning

arXiv

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arXiv 2023年

作者： Seo, Namjin Heo, DongNyeong Choi, Heeyoul Handong Global University Gyeongbuk Pohang37554 Korea Republic of

network function virtualization (NFV) and software-defined network (SDN) have become emerging network paradigms, allowing virtualized network function (VNF) deployment at a low cost. Even though VNF deployment can be flexible, it is still challenging to optimize VNF deployment due to its high complexity. Several studies have approached the task as dynamic programming, e.g., integer linear programming (ILP). However, optimizing VNF deployment for highly complex networks remains a challenge. Alternatively, reinforcement learning (RL) based approaches have been proposed to optimize this task, especially to employ a scaling action-based method which can deploy VNFs within less computational time. However, the model architecture can be improved further to generalize to the different networking settings. In this paper, we propose an enhanced model which can be adapted to more general network settings. We adopt the improved GNN architecture and a few techniques to obtain a better node representation for the VNF deployment task. Furthermore, we apply a recently proposed RL method, phasic policy gradient (PPG), to leverage the shared representation of the service function chain (SFC) generation model from the value function. We evaluate the proposed method in various scenarios, achieving a better QoS with minimum resource utilization compared to the previous methods. Finally, as a qualitative evaluation, we analyze our proposed encoder’s representation for the nodes, which shows a more disentangled representation. Copyright © 2023, The Authors. All rights reserved.

关键词： network function virtualization

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Overview of network Softwarization and Its Core Techniques 21

Overview of Network Softwarization and Its Core Techniques

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21st IEEE International Conference on Communication Technology, ICCT 2021

作者： Zhu, Yuhao Wang, Xiaoyu Xu, Zhanqi Yang, Fan Xidian University School of Telecomm. Eng. Xi'an China

ISBN: (纸本)9781665432061

network softwarization helps operators deliver new services and deploys new functions more efficiently, so as to meet the needs of ever-increasing and diverse users. Many studies have shown that network softwarization revolutionizes the traditional network architecture and operation mode, and greatly improves network programmability. However, understanding network softwarization behaves a little difficult since it relates several main techniques, such as Software Defined networking (SDN), network function virtualization (NFV) and Cloud Computing (CC). This article summarizes the implication of network softwarization, focusing on surveying three core techniques and the two main applications. The efforts made in this article aim to provide the academic and engineering investigations of network softwarization. © 2021 IEEE.

关键词： network function virtualization

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An Evolution of Proxy Mobile IPv6 to the Cloud 19

An Evolution of Proxy Mobile IPv6 to the Cloud

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19th ACM International Symposium on Mobility Management and Wireless Access, MobiWac 2021

作者： Leiter, Ákos Galambosi, Nándor Bokor, László Nokia Bell Labs Budapest Hungary Department of Networked Systems and Services Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (纸本)9781450390798

network function virtualization (NFV) and Software Defined networks (SDN) do not leave any legacy network services untouched. This work will present how Proxy Mobile IPv6 (PMIPv6) can evolve to the cloud. Our approach is to introduce this evolution within a step-by-step architecture guideline while keeping standards compatibility. We also show how PMIPv6 can fit into a central cloud - edge cloud environment on the top of Kubernetes and Openstack under a unified orchestration umbrella. The proper integration of PMIPv6 into this new environment does not just enforce acquiring new capabilities, e.g., scaling PMIPv6 elements;it also can ensure closed-loop orchestration where PMIPv6 can be controlled continuously by the actual network needs. © 2021 ACM.

关键词： network function virtualization

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