Future Intent-Based Networking

Name: Future Intent-Based Networking | On the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks
Brand: Springer
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On the QoS Robust and Energy Efficient Heterogeneous Software Defined Networks

Mikhailo Klymash Mykola Beshley Andriy Luntovskyy(Editor)

Springer (Publisher)

1st Edition

Published on 9. December 2021

XXV, 508 pages

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978-3-030-92435-5 (ISBN)

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So-called Intent-Based Networking (IBN) is founded on well-known SDN (Software-Defined Networking) and represents one of the most important emerging network infrastructure opportunities. The IBN is the beginning of a new era in the history of networking, where the network itself translates business intentions into appropriate network configurations for all devices. This minimizes manual effort, provides an additional layer of network monitoring, and provides the ability to perform network analytics and take full advantage of machine learning. The centralized, software-defined solution provides process automation and proactive problem solving as well as centralized management of the network infrastructure. With software-based network management, many operations can be performed automatically using intelligent control algorithms (artificial intelligence and machine learning). As a result, network operation costs, application response times and energy consumption are reduced, networkreliability and performance are improved, network security and flexibility are enhanced. This will be a benefit for existing networks as well as evolved LTE-based mobile networks, emerging Internet of Things (IoT), Cloud systems, and soon for the future 5G/6G networks. The future networks will reach a whole new level of self-awareness, self-configuration, self-optimization, self-recovery and self-protection.
This volume consists of 28 chapters, based on recent research on IBN.The volume is a collection of the most important research for the future intent-based networking deployment provided by different groups of researchers from Ukraine, Germany, Slovak Republic, Switzerland, South Korea, China, Czech Republic, Poland, Brazil, Belarus and Israel. The authors of the chapters from this collection present in depth extended research results in their scientific fields.The presented contents are highly interesting while still being rather practically oriented and straightforward to understand. Herewith we would like to wish all our readers a lot of inspiration by studying of the volume!

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Content

Intro
Preface
Introduction
Acknowledgment
Contents
Future Intent-Based Networking for QoE-Driven Business Models
1 Introduction
2 Intent-Based Networking for Adaptive Business Process Management
3 Future Insights of QoE Based Network Management
4 Conclusion
References
Designing HDS Under Considering of QoS Robustness and Security for Heterogeneous IBN
1 Motivation and Introduction: HDS for IBN
2 Designing HDS
2.1 Distributed Systems
2.2 Highly-Distributed Systems
2.3 HDS Construction Paradigms p1-p4
2.4 Demarcation of Web Services and Micro-services
2.5 Three Main Questions
3 Service Composition in Highly-Distributed Systems
4 Considering of QoS Robustness and Security
4.1 QoS Robustness and QoE
4.2 CIDN for IBN
5 Summarizing
6 Conclusions and Outlook
References
Intent-Based Placement of Microservices in Computing Continuums
1 Introduction
2 Placement, Migration and Other Software Engineering Concerns
3 Matchmaking as Planning Phase for Initial Placement
3.1 Example Description
3.2 Preliminaries: Definitions and Models
3.3 Greedy Matching
3.4 Rule-Based Matching
3.5 SAT Solver Matching
3.6 Towards Advanced Intent-Based Matching and Placement
4 Conclusion
References
Infrastructure as Code and Microservices for Intent-Based Cloud Networking
1 Introduction
2 AIOps and Benefits of Infrastructure as Code
3 GCP Cloud Functions for Microservices
4 GCP Cloud Run - Highly Scalable Containerized Applications
5 Conclusion
References
Intent-Based Adaptation Coordination of Highly Decentralized Networked Self-adaptive Systems
1 Introduction
2 Application Scenario
3 Intent-Based Self-adaptation with Roles
3.1 The MAPE-K Control Loop
3.2 Patterns for Decentralization in Control Loops
3.3 Foundations of Roles
3.4 The Compartment Role Object Model (CROM)
3.5 Scala Roles Language (SCROLL)
3.6 Modelling Runtime Adaptations
3.7 Conceptual Framework for Intent-Based Adaptation Coordination
4 Case Study
4.1 Monitoring Component
4.2 Analysis and Planning
4.3 Decentralized Execution of Adaptation Plans
5 Conclusion and Future Work
References
Intent-Based Routing in Delay- and Disruption-Tolerant Networks
1 Introduction
2 Foundations
2.1 Delay-/Disruption-Tolerant Networking
2.2 Intent-Based Networking
2.3 Self-Adaptive Systems
3 Toward an Intent-Based DTN
3.1 Example Scenario
3.2 An Intent-Based Networking Approach for DTN
3.3 Self-Adaptation Concepts for Intent-Based DTN
3.4 Open Issues for Intent-Based DTN
4 Adaptive DTN Routing
4.1 Contact Prediction-Based DTN Routing
4.2 Adaptation of the Routing Algorithm
4.3 Application to Example Scenario
5 A Multicast Approach for Intent-Based Node Configuration
5.1 Multicast in Deterministic DTN
5.2 SPSN-Based Multicast
5.3 Application to Example Scenario
6 Future Research Directions
7 Conclusion
References
QoE-Oriented Routing Model for the Future Intent-Based Networking
1 Introduction
2 QoE-Aware Intent-Based Networking Architecture
3 The QoE Video Streaming Evaluation Method Through the QoS/QoE Correlation Model
4 Intent-Based Software-Defined Network Testbed with QoE-Aware Routing Realization
5 Conclusion
References
Complex Investigation of the Compromise Probability Behavior in Traffic Engineering Oriented Secure Routing Model in Software-Defined Networks
1 Introduction
2 Traffic Engineering Oriented Secure Routing Model
3 Link Blocking Models in Secure Based Traffic Engineering
4 Numerical Research of Secure Based Traffic Engineering Model on SDN Data Plane
5 Conclusion
References
Intelligent Traffic Engineering for Future Intent-Based Software-Defined Transport Network
1 Introduction
2 Intent-Based Software-defined Transport Network Architecture Based on Neural Networks and Machine Learning
3 IBSDTN State Detection Algorithm Based on ML K-Means and C-Means
4 An Intelligent Traffic Engineering Method Based on Graph Neural Networks for IBSDTN
5 The Development of IBSDTN Simulation Model
6 Simulation Results
7 Conclusion
References
The Approach to Flow Management in Virtual Computational Environment for Up-to-Day Telecom Networks
1 Introduction
2 Description of Processes in SDN Controller
3 Statement of the Research Task. Method of Organizing Functions "Infinity Train"
4 Ensuring the Sufficiency of the Resources at All Times
5 The Specifics of Creating Virtual Machines in Dynamic Mode and the Technologies for Their Implementation
6 Description of the Experiment
7 Conclusions
References
Calculation of Quality Indicators of the Future Multiservice Network
1 Introduction
1.1 Analysis of the Quality of the Multiservice Network
2 Statement of Research Problem
2.1 Evaluation of the Quality Indicators of the Multiservice Network
3 Conclusions
References
Intelligent Detection of DDoS Attacks in SDN Networks
1 Introduction
2 Concept of Intelligent Detection of DDoS Attacks in SDN Networks Using Machine Learning
2.1 General Concept
2.2 The Principle of Log Analysis
3 Implementation of Protection from DDoS Attacks Based on Analysis of the Service Information
3.1 Web Applications Security Monitoring Using Log Analysis Subsystem
3.2 Attack Detection Using Kulbak-Leibler Approach
3.3 Machine Learning and Attack Detection
4 Conclusion
References
Mathematical Methods of Reliability Analysis of the Network Structures: Securing QoS on Hyperconverged Networks for Traffic Anomalies
1 Introduction
1.1 Motivation
1.2 Analysis of Related Works
1.3 Goals and Structure
2 Statistical Characteristics of Hyperconverged Network Traffic
3 Defining the Limits of cChanges in Traffic Properties
4 Mathematical Model of Abnormal Traffic in a Hyperconverged Network
5 Discussion
6 Conclusion
References
Parametric Analysis of Statistical and Correlation Characteristics of Discrete Processes in Dynamic Systems with Non-stationary Nonlinearities in Time for the Secure Intent-Based Networks
1 Introduction
2 Algorithms for Generating Random-Like Processes
3 Estimation of Statistical and Spectral-Temporal Characteristics of Processes Formed by a System with Two Degrees of Freedom
3.1 Statistical Indicators of the Generated Process Quality
3.2 Correlation Properties of the Generated Process
4 Estimation of Statistical and Temporal Characteristics of Processes Formed by a System with Three Degrees of Freedom
4.1 Statistical Indicators of the Quality of the Generated Process
4.2 Correlation Properties of the Generated Process
5 Conclusions and Practical Recommendations
References
Methodology of ISMS Establishment Against Modern Cybersecurity Threats
1 Introduction
2 Analysis of Attack Vectors
3 Analysis of Cybersecurity Frameworks
4 Educational Roadmap for Cyber Security Specialists
5 ISMS Implementation Model
6 Conclusion
References
QoE Estimation Methodology for 5G Use Cases
1 Introduction
2 Previous Research Analysis
3 Problem Statement
4 QoE-QoS Estimation Methodology for the 5G Use Cases
4.1 5G Use Cases Classification
4.2 QoE Estimation Methodology
4.3 QoE Estimation Methodology Implementation
5 Conclusions
References
Software Implementation Research of Self-similar Traffic Characteristics of Mobile Communication Networks
1 Introduction
2 The Self-similar Traffic in Mobile Networks
2.1 Research of Quality Characteristics of Self-similar Traffic
3 Practical Recommendations for Using the Results of Research Quality Characteristics in Mobile Networks
4 Conclusions
References
Universal Method of Multidimensional Signal Formation for Any Multiplicity of Modulation in 5G Mobile Network
1 Introduction
2 Analysis of the Literature Data and the Problem Statement
3 The Purpose and Objectives of the Study
4 Special Elements
5 Modeling a Multidimensional Information Transmission System Based on a Multidimensional Signal
6 Discussion of the Study Results of the Noise Immunity of 5G Mobile Networks Based on a Multidimensional Signal with Amplitude-Phase Difference Modulation
7 Conclusions
References
AI-Enabled Blockchain Framework for Dynamic Spectrum Management in Multi-operator 6G Networks
1 Introduction
2 Blockchain and AI-Empowered 6G Framework
3 Deep Learning-Based Intelligent Multi-operator Spectrum Management in 6G
4 Simulation Results and Performance Analysis of the AI-Based Spectrum Management Workflow
5 Conclusion
References
Estimation of Energy Efficiency and Quality of Service in Cloud Realizations of Parallel Computing Algorithms for IBN
1 Introduction and Motivation
2 QoS Control for IBN and Algorithm Parallelization Under Use of Matrix Approach
2.1 Arithmetic-Logic Relations and Recurrent Matrixes
2.2 Estimation of the Level of Algorithm Parallelization by Analyzing the Structure of Recurrent Matrixes
2.3 Efficiency of Algorithm Parallelization for IBN Under Use of Standard Programming Techniques and Functions
2.4 QoS Control for IBN and Real-Time Capability
3 Energy Utilization in "Green Clouds" for IBN with Powerful Servers and Simulation of Waste Heat System
3.1 PUE and ERE Criteria
3.2 Fourier Thermodynamic Equation and Basic Methods of Its Solving
3.3 Simulation of Waste Heat System by Solving the Boltzmann Thermodynamic Equation
4 Advanced Error-Coding Methods for IBN
4.1 Estimation of Redundancy of RS-Code
4.2 Estimation of Redundancy of Convolutional Codes
5 Conclusions
References
Modeling of 5G Energy Efficiency on Example of Germany as Technological Basis for Intent-Based Networking
1 Motivation
2 State-of-the-Art
2.1 Mobile Networks and 5G
2.2 Internet Consumption
3 General Assumptions
3.1 Energy Consumption of Cells
3.2 Data Traffic
4 Energy Consumption Simulation
4.1 Scenario and General Assumptions
4.2 Simulation Methodology
4.3 Simulation Results
5 Conclusions and Outlook
References
Methods of Signal Detection and Recognition to Perform Frequency Resource Sharing in Cognitive Radio Networks
1 Introduction
2 Frequency Resource Acquisition
2.1 Problem Analysis and a Proposed Approach
2.2 M+1 Hypothesis Problem
2.3 Decision Rule for Selection and Recognition of Defined Signals
2.4 Decision Rules for Detecting Unknown Signals in the Presence of Noise
2.5 Multiple Comparisons: Post Hoc Hypotheses Testing
3 Results of Research into Methods for Detecting Unknown Signals
4 Employing the Concept of Pareto Optimality to Meet Trade-Off Requirements for Algorithms to Detect Unknown Signals
5 Results of Research into the Procedure for Selection and Recognition of Defined Signals
6 Conclusion
References
Model of Increase of Spectral Efficiency of Use of Frequency Resource of Low-Orbit System with Architecture of the Distributed Satellite
1 Introduction
2 The State of Development of the Issue Under Study
3 Statement of the Task
4 Conclusion
References
Optical Signal Decay and Information Data Loss in Wireless Atmospheric Communication Links with Fading
1 Introduction
2 Effects of Tropospheric Features on Signal Propagation
2.1 Main Effects of Tropospheric Features on Signal Decay and Fading
3 Effects of Turbulence
4 Effects of Turbulence on Signal Data Propagating through Atmospheric Communication Links
4.1 Characteristics of Signal Data in Atmospheric Communication Links
4.2 Relations Between Signal Data Parameters in Atmospheric Links and Fading
5 Conclusions
References
Control Methods Research of Indicators for Intelligent Adaptive Flying Information-Telecommunication Platforms in Mobile Wireless Sensor Networks
1 Introduction
2 Concept Development of Intellectual Adaptive Control in the Emergency Zone for Flying Information and Telecommunications Robots
2.1 Management Tasks for Flying Information and Telecommunication Robots Network
2.2 Stages of Planning FITP Network Management Cycles
3 Mobile Wireless Sensor Networks with FITP Infrastructure Construction Peculiarities
4 Methods Analysis for Mobile Wireless Sensor Networks with FITP Capacity Increasing
4.1 Methods Review of MWSN with FITP Capacity Increase
4.2 Problem Statement for Creating the Mathematical Model of System Bandwidth Research
5 Increasing Noise Immunity Methods in Channels of MWSN with FITP
5.1 General Problem Statement for Mathematical Model Research of MWSN with FITP Channels Noise Immunity
5.2 MWSN with FITP Channels Noise Immunity Quality Indicators Comparative Analysis
5.3 Wireless Communication Systems Noise Immunity Comparison in Gaussian and Rayleigh Channels
5.4 Proposals to Increase the Noise Immunity for MWSN with FITP Based on the Developed Mathematical Model for Wireless Communication Channels Description
6 Conclusion
References
Technologies for Building Intelligent Video Surveillance Systems and Methods for Background Subtraction in Video Sequences
1 Introduction
2 Review of the Literature
3 Improved Method of Detecting Dynamic Objects in Video Sequences
4 Results and Discussion
5 Conclusions
References
An Ontological Approach to Detecting Irrelevant and Unreliable Information on Web-Resources and Social Networks
1 Introduction
2 Analysis of Research and Publications
3 Statement and Solution of the Problem
3.1 The Procedure for Checking Information from Web Resources for Relevance and Reliability
3.2 A Method of Verifying Information from Web Resources Based on the Analysis of Data Obtained from Social Networks
4 Experiments
5 Conclusions
References
Application Peculiarities of Deep Learning Methods in the Problem of Big Datasets Classification
1 Introduction
2 Reduction of the Data Dimension
3 Database Estimation
4 Estimation of the Training Sample Quality
5 Conclusions
References
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