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Innovative Sustainable Technologies for Energy, Mechatronics, and Smart Systems (ISTEMS), International Conference on

作者： Abdul Khalid Raghu G Anand Ashwini Malviya Department of IT M. Tech Integrated Noida Institute of Engineering & Technology Greater Noida Uttar Pradesh India Department of Management School of Mangement - UG JAIN (Deemed to be University) Bangalore Karnataka India Department of uGDX ATLAS SkillTech University Maharashtra India

ISBN: (数字)9798350384246

ISBN: (纸本)9798350384253

Using SDN, or software-defined networking, and network function virtualization, or (NFV), we address the problem of resource provisioning in fifth-generation (5G) networks to enable end-to-end dynamic slicing. The core of our method is to dynamically assign separate portions of Physical Resource Bricks (PRBs), basic processing resources, transport capacity, and components like The information Forwarding Elements (DFE) plus network connections to tenants, logical operators of different slices. We use large datasets of key performance indicators (also known as KPIs) taken from a live mobile phone network fitted with traffic sensors in order to create a forecast model for the traffic of slices. We offer a technique that makes use of a soft-gated Randomised Unit (GRU) based low-complexity slices traffic prediction. Furthermore, we build joint multi-slice DNN s (deep neural networks) for each virtual network role and train them to predict the needed resources, guaranteeing adherence to two crucial service level contracts (SLAs): resource bounds-based SLA and violation rate-based SLA. We present dataset-dependent generalised non-convex constraints as a solution to the difficulty of optimisation challenges related to DNNs. The offline optimisation procedure of the DNNs, which is solved using a non-zero summing two-player game strategy, smoothly incorporates these limitations. Throughout our methodology, we stress the importance of underlying hyperparameters that in striking a balance between the trade-off between overstocking and preserving slices' isolation. Lastly, we do a thorough closed-form analysis including reliability theory in order to determine the bottom limit of the reliable convergent probability. In addition, we investigate how the violation rate affects this convergence probability, offering important information on the dependability of our suggested system.

关键词： Deep learning Artificial neural networks Reliability theory Predictive models Dynamic scheduling Aerodynamics network function virtualization

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NetLLMBench: A Benchmark Framework for Large Language Models in network Configuration Tasks

NetLLMBench: A Benchmark Framework for Large Language Models...

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IEEE Conference on network function virtualization and Software Defined networks (NFV-SDN)

作者： Kaan Aykurt Andreas Blenk Wolfgang Kellerer Chair of Communication Networks Technical University of Munich Germany Siemens AG Munich Germany

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

Traditional network management techniques often struggle with the scale and dynamism of modern networks, requiring significant human oversight and being prone to high error rates. Large Language Models (LLMs) present a promising alternative to conventional approaches by automating network configuration and management. However, a systematic way to evaluate their performance is lacking in the *** paper introduces NetLLMBench, a novel framework designed to rigorously assess the performance of LLMs in managing computer networks. By integrating prompt engineering and network emulation in a closed loop, NetLLMBench benchmarks and validates LLMs’ responses in various configuration scenarios. The findings establish foundational benchmarks to guide future applications of LLMs in enhancing network management efficiency.

关键词： Systematics Error analysis Large language models Emulation Configuration management Computer architecture Benchmark testing network function virtualization Prompt engineering Software defined networking

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Latency-Aware Resource Utilization Optimization for Service function Chain Deployment in Heterogeneous Edge network

SSRN

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SSRN 2024年

作者： Liao, Zhuofan Xiong, Qingli Huang, Mingfeng Tang, XiaoYong School of Computer and Communication Engineering Changsha University of Science and Technology Hunan Changsha410114 China

network function virtualization (NFV) improves service quality by converting traditional hardware-supported network services into Virtualized network functions (VNF), thereby improving network's scalability. One application form of this technology is the deployment of Service function Chaining (SFC) in Edge Computing (EC) scenario to establish NFV-EC network. However, in the context of NFV-EC, the deployment of SFC suffers low resource utilization of network nodes, which is attributed to the heterogeneity in the distribution of resource in edge network. In this case, we investigate a Service function Chain Deployment (SFCD) problem to maximize resource utilization rate, with the constraint of End-to-End (E2E) latency. As this problem is NP-hard, many existing studies have employed meta-heuristic algorithms to tackle it. However, these algorithms are not suitable for our problem, due to their drawbacks in the optimization objective or the problem scenario. Base on the characteristics of Genetic Algorithm (GA) and Ant Colony Optimization (ACO), a two-stage algorithm, named Resource-Optimized and Latency-Aware (ROLA) algorithm, is proposed to simultaneously improve resource utilization rate and latency. This approach involves a customized GA for narrowing the search space and an improved ACO for optimization, which migitate their drawbacks while utilizing the advantages of them. The experiment results indicate that, in comparison to D-GA, FH-ACO, and B-GWO, \emph{ROLA} achieved superior performance in resource utilization rate, propagation latency, acceptance rate, and execution time. © 2024, The Authors. All rights reserved.

关键词： network function virtualization

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Federated Transfer Component Analysis Towards Effective VNF Profiling

Federated Transfer Component Analysis Towards Effective VNF ...

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IEEE Conference on Global Communications (GLOBECOM)

作者： Xunzheng Zhang Shadi Moazzeni Juan Marcelo Parra-Ullauri Reza Nejabati Dimitra Simeonidou High Performance Networks Research Group Smart Internet Lab Faculty of Engineering University of Bristol Bristol UK

ISBN: (数字)9798350351255

ISBN: (纸本)9798350351262

The increasing concerns of knowledge transfer and data privacy challenge the traditional gather-and-analyse paradigm in networks. Specifically, the intelligent orchestration of Virtual network functions (VNFs) requires understanding and profiling the resource consumption. However, profiling all kinds of VNFs is time-consuming. It is important to consider transferring the well-profiled VNF knowledge to other lack-profiled VNF types while keeping data private. To this end, this paper proposes a Federated Transfer Component Analysis (FTCA) method between the source and target VNFs. FTCA first trains Generative Adversarial networks (GANs) based on the source VNF profiling data, and the trained GANs model is sent to the target VNF domain. Then, FTCA realizes federated domain adaptation by using the generated source VNF data and less target VNF profiling data, while keeping the raw data locally. The proposed FTCA enables efficient profiling knowledge transfer among different VNFs, while maintaining data privacy. Through FTCA, faster new VNF deployment can be expected. Experiments show that the proposed FTCA can effectively predict the required resources for the target VNF. Specifically, the RMSE index of the regression model decreases by 38.5% and the R-squared metric advances up to 68.6%.

关键词： Measurement Data privacy Adaptation models Transfer learning Generative adversarial networks Data models network function virtualization Global communication Knowledge transfer

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StateProc: Empowering network functions with Enhanced Processing Capabilities in Edge Clouds

StateProc: Empowering Network Functions with Enhanced Proces...

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International Symposium on networks, Computers and Communications (ISNCC)

作者： Mahdi Attawna Tung V. Doan Frank H.P. Fitzek Giang T. Nguyen Deutsche Telekom Chair of Communication Networks TU Dresden Germany Haptic Communication Systems TU Dresden Germany Centre for Tactile Internet with Human-in-the-Loop (CeTI)

ISBN: (数字)9798350364910

ISBN: (纸本)9798350364927

Edge clouds embrace network function virtualization (NFV) to bring network functions (NFs) closer to end devices. The mobility nature of edge clouds and the emergence of new use cases, such as robot control or metaverse, demand NFs with high resilience. However, numerous NFs like firewalls require stateful processing that depends on historical processing values, referred to as NF states. Consequently, supporting stateful NFs with high resilience necessitates the maintenance of their states, often resulting in significant modification of the NFs. While providing high resilience for NFs, maintaining their processing performance is a critical challenge for existing solutions. Our proposed framework, StateProc, eliminates this concern by enhancing the processing capabilities of NFs through the utilization of NF states for custom processing. Through custom processing for state transfer, the evaluation results show that StateProc significantly improves the state transfer time, up to 93% faster than a notable state-of-the-art framework, without additional processing overhead.

关键词： Computers Cloud computing Metaverse Firewalls (computing) Robot control network function virtualization Maintenance Noise measurement Logic Resilience

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A Novel Method for SFC Segmentation in Edge-Cloud Environments

A Novel Method for SFC Segmentation in Edge-Cloud Environmen...

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IEEE International Conference on Cloud networking (CLOUDNET)

作者： Anselmo Luiz Éden Battisti Flavia C. Delicato Débora Christina Muchaluat-Saade Mí diaCom Lab Institute of Computing UFF - Niterói/RJ Brazil

ISBN: (数字)9798350376562

ISBN: (纸本)9798350376579

A Service function Chain (SFC) is a chain of Virtual network functions (VNFs). SFCs enable orchestration of complex network services in edge-cloud environments. To execute an SFC in a multi-domain environments, it is necessary to split the SFC into small parts named segments. This paper presents the Distributed Segmentation Strategy (DSS), a novel approach to segmenting SFCs. The SFC segmentation problem involves dividing an SFC into smaller parts to optimize the deployment and operation of network services across multiple domains. Our method allows for configurable segmentation strategies, enabling different SFC placement methods to tailor the segmentation process according to their specific requirements. Experimental results demonstrate that DSS enhances performance based on the SFC placement criteria, making it a valuable contribution to network function virtualization (NFV) environments.

关键词： Cloud computing Costs Service function chaining Stars Complex networks network function virtualization Topology Bars

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PINT-BoX: Path-aware networking IN a Tofino BoX

PINT-BoX: Path-aware networking IN a Tofino BoX

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IEEE Conference on network function virtualization and Software Defined networks (NFV-SDN)

作者： Everson S. Borges Willen B. Coelho Fabricio R. Cesen Francisco G. Vogt Christian Rothenberg Rodolfo S. Villaça Cristina K. Dominicini Rafael S. Guimarães Magnos Martinello Department of Informatics Federal University of Espírito Santo Brazil Department of Informatics Federal Institute of Espírito Santo Brazil School of Electrical and Computing Engineering Universidade Estadual de Campinas Brazil

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

This demonstration showcases PINT-BoX, a Path-Aware networking using the PolKA source routing approach, in combination with the P7 emulation experimentation tool built on a Tofino box. It is designed for experimentation on a Tofino-based system, demonstrating the creation of various network topologies emulated within a P4-programmable switch. The demo highlights the flexibility and capabilities of the platform in exploring diverse network paths and configurations. The proposed design gives endpoints full control over multiple paths within a given topology, each with distinct network metrics, allowing them to change the path without the need to reconfigure the network core.

关键词： Measurement network topology Emulation Switches Routing Topology network function virtualization Software defined networking

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A Hybrid Method to Predict network Traffic Demands for Each Link

A Hybrid Method to Predict Network Traffic Demands for Each ...

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IEEE Conference on network function virtualization and Software Defined networks (NFV-SDN)

作者： Daniel Adanza Ricard Vilalta Raul Muñoz Pol Alemany LLuis Gifre Centre Tecnologic de Telecomunicacions de Catalunya-CERCA (CTTC-CERCA) Casteldefells Spain

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

network traffic forecast permits effective resource allocation and allows a more robust thread detection. However, the network infrastructure is more complex than ever in a scenario where the traffic data increases progressively. The introduction of SDN controllers provides more insights into real-time network traffic, and thus traffic forecasting can be easily applied. This paper presents a hybrid method designed to harness the capabilities of the anomaly detection systems, to understand the historically anomalously high traffic demands and the clustering techniques, to identify similar links in the topology. As a main result, a traffic prediction system is created with an enhanced efficiency of 89% in terms of computational overhead, which demonstrates the benefits of implementing different kinds of Artificial Intelligence (AI) technologies in the field of network traffic forecast.

关键词： network topology Telecommunication traffic Prediction algorithms Real-time systems Topology network function virtualization Resource management Forecasting Artificial intelligence Software defined networking

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Automatic Service Migration in a MEC-NFV Environment

Automatic Service Migration in a MEC-NFV Environment

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IEEE Conference on network function virtualization and Software Defined networks (NFV-SDN)

作者： Pedro Pereira Pedro Escaleira Diogo Gomes Rui Aguiar Instituto de Telecomunicações and University of Aveiro Aveiro Portugal

ISBN: (数字)9798350380538

ISBN: (纸本)9798350380545

network functions virtualization (NFV) and Multi-access Edge Computing (MEC) represent significant advancements in the telecommunications industry, addressing critical issues related to cost, complexity, and service agility. In MEC, it is essential to ensure seamless service migration to guarantee the system’s optimal performance. Our proposed architecture, based on the European Telecommunications Standards Institute MEC-NFV framework, aims to enable automatic metrics-based service migration. Our mechanism allows the client to specify the conditions in which the application should be hosted. By monitoring the resource usage of the applications, the system can react accordingly by scheduling service migration operations. To verify the practical impact of our proposal, we implemented a Proof of Concept (PoC), which we made open-source.

关键词： Industries Multi-access edge computing Job shop scheduling Processor scheduling network function virtualization Telecommunications Proposals virtualization Software defined networking Monitoring

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Enabling the eMBB and URLLC coexistence in MEC-NFV networks

Enabling the eMBB and URLLC coexistence in MEC-NFV Networks

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IEEE International Conference on Communications (ICC)

作者： Caio Souza Marcos Falcão Andson Balieiro Tarik Taleb Elton Alves Centro de Informática (CIn) Universidade Federal de Pernambuco (UFPE) Recife Brazil Sidia Institute of Science and Technology Manaus Brazil Centre for Wireless Communications (CWC) University of Oulu Oulu Finland Ruhr University Bochum Bochum Germany Faculdade de Engenharia da Computação Universidade do Sul e Sudeste do Pará Brazil

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

The coexistence between enhanced Mobile Broad-band (eMBB) and Ultra Reliable Low Latency Communications (URLLC) is challenging in modern communication systems. To support such diversity, Multi-access Edge Computing (MEC) and network function virtualization (NFV) emerge as complementary paradigms that shall offer fine-grained on-demand distributed resources closer to the User Equipment (UE). In this work, we address the combination of MEC, NFV and dynamic virtual resource allocation to overcome the challenge of resource dimensioning in the network edge. A Continuous Time Markov Chain (CTMC) based model was designed to evaluate how requests are managed by the virtualization resources of a single MEC node, with a primary focus on meeting the requirements of both eMBB and URLLC services. Practical factors such as resource failures, service prioritization, and setup (repair) times were integrated into the formulation. Some of our key findings include the idea that higher eMBB arrival rates decrease availability and increase response times, while URLLC availability remains stable, and that the container setup rates and failure rates substantially affect both availability and response times, with higher setup rates enhancing both availability and reducing response times.

关键词： Multi-access edge computing Ultra reliable low latency communication Maintenance engineering Containers Dynamic scheduling network function virtualization Broadband communication

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