<span>This book constitutes the refereed post-conference proceedings of the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. The 26 revised full papers and 3 revised short papers were carefully reviewed and se
Distributed Computer and Communication Networks: 24th International Conference, DCCN 2021, Moscow, Russia, September 20β24, 2021, Revised Selected Papers
β Scribed by Vladimir M. Vishnevskiy (editor), Konstantin E. Samouylov (editor), Dmitry V. Kozyrev (editor)
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 474
- Series
- Communications in Computer and Information Science; 1552
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book constitutes revised selected papers from the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. Due to the COVID-19 pandemic the conference was held online.
The 31 full papers along with the 4 short papers were carefully reviewed and selected from 151 submissions.The papers are organized in the following topical sections: computer and communication networks; analytical modeling of distributed systems, and distributed systems applications.
β¦ Table of Contents
Preface
Organization
Contents
Computer andΒ Communication Networks
Multi Task Multi-UAV Computation Offloading Enabled Mobile Edge Computing Systems
1 Introduction
2 Related Works
3 System Model and Problem Statement
3.1 Communication Model and Scenario
3.2 Computation Model
3.3 Problem Statement
4 Energy-Efficient Computations Offloading Algorithm Based on Dynamic Programming
5 Evaluation and Results
5.1 Simulation Setup
6 Conclusion
References
The Increasing of Resource Sharing Efficiency in Network Slicing Implementation
1 Introduction
2 Differentiated Servicing Based on the Network Slicing
3 Differentiated Servicing Based on the Filtering of the Input Flows
4 Analysis of Effectiveness of Filtering vs Network Slicing
5 Conclusion
References
Analysis of Non-preemptive Scheduling for 5G Network Model Within Slicing Framework
1 Introduction
2 Mathematical Model
3 Stationary Probability Distribution
4 Performance Measures
5 Numerical Example
6 Conclusion
References
A Hybrid Clustering-Based Routing Protocol for VANET Using k-means and Cuckoo Search Algorithm
1 Introduction
2 Related Work
3 Routing Protocols in VANET
4 Proposed Routing Protocol
4.1 Cluster Formation Algorithm
4.2 Cluster Head Selection Algorithm
4.3 K-MCSA Proposed Routing Algorithm
5 Modeling and Performance Evaluation
5.1 Modeling Scenario
5.2 Performance Metrics
5.3 Results and Discussions
6 Conclusions
References
OpenFlow-based Software-Defined Networking Queue Model
1 Introduction
2 Model of Queuing of OpenFlow Switches
3 SDN Controller Queuing Model
4 SDN Network Queuing Model with OpenFlow
5 Results for the System M/G/1
6 SDN Network Queuing Model with OpenFlow
7 Numerical Results
8 Conclusion
References
Hybrid MCDM for Cloud Services: AHP(blocks) & Entropy, TOPSIS & MOORA (methodology Review and Advances)
1 Introduction
2 Review of Literature and Previous Research
3 Decision Makers, Alternatives, Criteria
3.1 Selecting Target Alternatives.
4 Collection and Normalization of Data
5 Objective Weighting of Criteria with Information Entropy
6 Subjective Weighting of Criteria: Classical AHP & AHP in Blocks
6.1 AHP Classic: Integral Set of Criteria
6.2 Adjustment in AHP: Logical Systematization of Criteria in Blocks
7 MDCM Evaluation Techniques
7.1 Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS)
7.2 Multi-objective Optimization by Ratio Analysis (MOORA)
8 Integration and Sensitivity Analysis of QoS/QoE Assessments
8.1 Arithmetic Average of Alternatives' Assessments
8.2 Product of Alternatives' Assessments
8.3 Sensitivity, Statistics and Entropy of Integrated Assessments
9 Conclusion and Further Research
References
Hybrid MCDM for Cloud Services: AHP(blocks) & Entropy, TOPSIS & MOORA (Case Study with QoS and QoE Criteria)
1 Introduction
2 Case Study Modelling for MCDM
2.1 Step 1 - Decision-Makers and Experts
2.2 Step 2 - Target Alternatives
2.3 Step 3 - Evaluation Criteria
2.4 Step 4 - Collection and Normalization of Data
3 Objective Criteria Weights: Real v/s Differed Entropy
3.1 Real and Differed'' Entropy in the Weights QoS Criteria
3.2 Real andDiffered'' Entropy in the Weights of QoE Criteria
4 Subjective Criteria Weights: Classic AHP'' &AHP in Blocks''
5 CS Selection with QoS and QoE Criteria
5.1 Cloud Services Selection with QoS Criteria
5.2 Cloud Services Selection with QoE Criteria
6 CS Comparative Evaluation: TOPSIS and MOORA
6.1 Evaluation and Ranking Based on QoS Criteria
6.2 Evaluation and Ranking Based on QoE Criteria
7 Integration of QoS and QoE Assessments
7.1 Comparative Statistics and Entropy of QoS and QoE Assessments
7.2 Ranking and Sensitivity of Integrated Assessments
7.3 Discussion of Integrated Results
8 Conclusions and Future Research
References
Ultra-Dense Internet of Things Model Network
1 Introduction
2 Formulation of the Problem
3 Choice of Structure and Hardware
4 Access Level Standards
5 Modeling the Environment
6 Composition of Technical Means
7 Conclusions
References
Integrity, Resilience and Security of 5G Transport Networks Based on SDN/NFV Technologies
1 Introduction
2 5G Security Threat Model with SDN/NFV
3 Threats and Vulnerabilities of SDN/NFV When Use in the 5G transport Segment
4 Indicators of Integrity, Sustainability and Safety of 5G transportation Networks on the Basis of SDN/NFV
5 Conclusion
References
Algorithm of Finding All Maximal Induced Bicliques of Hypergraph
1 Introduction
2 Statement of Problem of Finding All Maximal Induced Bicliques of Hypergraph
3 Algorithm of Finding All Maximal Induced Bicliques of Hypergraph
4 Computational Experiments
5 Conclusion
References
Customer Experience Model for Communication Service Provider Digital Twin*-6pt
1 Introduction
2 Customer's Digital Twin as a Part of CSP Digital Twin
3 CX Functional Model
4 Mathematical Model
5 Results and Further Research
6 Conclusion
References
Analytical Modeling ofΒ Distributed Systems
Matrix-Geometric Solutions for the Models of Perishable Inventory Systems with a Constant Retrial Rate
1 Introduction
2 Description of the PIS Models
3 Computation of the Steady-State Probabilities
4 Performance Measures
5 Numerical Results
6 Conclusion
References
Analysis of Two-Way Communication Retrial Queuing Systems with Non-reliable Server, Impatient Customers to the Orbit and Blocking Using Simulation
1 Introduction
2 System Model
3 Simulation
3.1 Scenario 1
3.2 Scenario 2
4 Conclusion
References
On a Queue with Marked Compound Poisson Input and Exponentially Distributed Batch Service
1 Introduction
2 Mathematical Description of the Model
3 Steady-State Analysis
3.1 Stability Condition
3.2 Stationary Distribution
4 Performance Measures
5 Numerical Example
5.1 The Effect of c1 on E[NT1] and the Effect of w2 and w3 on E[NT2] and on E[NT3], Respectively
6 Conclusion
References
A Two Server Queueing Inventory Model with Two Types of Customers and a Dedicated Server
1 Introduction
2 Model Description
3 Mathematical Formulation
4 Stability Condition
4.1 Stationary Distribution
5 Performance Measures
6 Numerical Examples
6.1 Effect of on Various Measures of Performance
6.2 Effect of N on Various Measures of Performance
7 Conclusion
References
On Convergence of Tabu-Enhanced Quantum Annealing Algorithm
1 Introduction
2 Tabu Enhanced Quantum Annealing
3 Collisions in Tabu Matrix
4 Conclusion and Discussion
References
Semi-markov Resource Flow as a Bit-Level Model of Traffic
1 Introduction
2 Mathematical Model of Semi-markov Flow
3 Balance Equation for the Probability Distribution of the Flow State
4 Asymptotic Probability Distribution
5 Numerical Example
6 Conclusion
References
Asymptotic Diffusion Analysis of an Retrial Queueing System M/M/1 with Impatient Calls
1 Introduction
2 Mathematical Model
3 Process of the System States: System of Kolmogorov Differential Equations in Terms of Partial Characteristic Functions
4 Asymptotic Analysis Method
4.1 Finding First-order Asymptotics
4.2 Finding Second-order Asymptotics
5 Asymptotic Diffusion Analysis Method
5.1 Obtaining the Drift (Transfer) Coefficient
5.2 Centering the Process and Obtaining the Diffusion Coefficient
5.3 Diffusion Approximation
6 Numerical Results
7 Conclusion
References
Sufficient Stability Conditions for a Multi-orbit Retrial System with General Retrials Under Classical Retrial Policy
1 Introduction
2 Description of the Model
3 Stability Analysis
4 Simulation
5 Conclusion
References
Analysis of the Probabilistic and Cost Characteristics of the Queueing Network with a Control Queue and Quarantine in Systems and Negative Requests by Means of Successive Approximations
1 Introduction
2 Model Description
3 Network's State Probabilities
4 Finding the Expected Incomes of the Network's Systems
5 Conclusion
References
The Automata-Based Model for Control of Large Distributed Systems
1 Introduction
2 Information Graphs for the Mathematical Presentation of Tasks
3 Control Automata
4 Balance-Based Equation of Control Processes in Large Systems
5 Conclusion
References
Information Spreading with Application to Non-homogeneous Evolving Networks
1 Introduction
2 Related Works
2.1 Information Spreading
2.2 Preferential Attachment
3 Main Results
3.1 Comparison of the Linear PA and SPREAD Algorithm
3.2 Spreading in Non-homogeneous Graphs
4 Conclusions
References
Machine Learning for Recognition Learning of Control Systems for Autonomous Unmanned Underwater Vehicles of Events in Hostile Environments
1 Introduction
2 Problems of Functioning of an Autonomous Control Object Under Water
3 Environment of the Situational Awareness Databaser
4 Event as a Result of Learning
5 Formation of a Training Sample
6 Preparation of Initial Data for Machine Learning
7 Preparation of Initial Data for Machine Learning
8 Conclusion
References
Statistical Model of Graph Structure Based on VKontakte" Social Network
1 Introduction
2 Statistical Properties of theVKontakte" Network Graph
3 The Existence of Fully Connected Subgraphs
4 The Analysis of Connections in Multidimensional Vertices
5 Conclusion
References
Response Time Estimate for a Fork-Join System with Pareto Distributed Service Time as a Model of a Cloud Computing System Using Neural Networks
1 Introduction
2 Mathematical Model of a Cloud Computing Systems
3 Analytical Estimates of the Response Time in a Fork-Join System
4 Application of Neural Networks to the Analysis of a Fork-Join System
5 Numerical Experiment
6 Conclusion
References
Approximation of the Two-Dimensional Output Process of a Retrial Queue with MMPP Input
1 Introduction
2 Mathematical Model
3 Kolmogorov Differential Equations System
4 Asymptotic Analysis Method
5 Explicit Probability Distribution
6 Numerical Examples
7 Conclusion
References
Method of Analyzing the Availability Factor in a Mesh Network
1 Introduction
2 Description of the Functioning Model
2.1 Identical Elements in the System
2.2 Failure of Some Elements
2.3 Different Elements of the System
3 Example of Availability Analysis
4 Maintenance Strategy Description
4.1 Simulation Model
4.2 Methodology for Reliability Evaluation
4.3 Model Calculation Example
5 Conclusion
References
The Importance of Conference Proceedings in Research Evaluation: A Methodology for Assessing Conference Impact
1 Introduction
2 The Role of Conferences
3 Materials and Methods
4 Results
4.1 Limitations
5 Conclusions
References
Cardiac Arrhythmia Disorders Detection with Deep Learning Models
1 Introduction
2 Development of Deep Learning Models for ECG Signals Classification
2.1 Deep Convolutional Neural Networks
2.2 Recurrent Neural Networks
3 Description of the MIT-BIH Database of ECG Signal Samples
4 Analysis of the Effectiveness of the Deep Learning Models Application to the Classification of Cardiac Arrhythmias
5 Conclusion
References
Distributed Systems Applications
Autonomous Infrared Guided Landing System for Unmanned Aerial Vehicles
1 Introduction
1.1 Design of a Quad-copter
1.2 Control of a Quad-copter
2 Concept
3 Placement of the High Intensity IR Beacons
3.1 Calculation: To Find the Distance Between the IR Beacons
4 Anchor Point Calculation
5 Algorithm
6 Results
7 Conclusion
References
Distributed Computing of R Applications Using RBOINC Package with Applications to Parallel Discrete Event Simulation
1 Introduction
2 Parallel Backend for R Using BOINC High-level Architecture
2.1 Client Part
2.2 Virtual Machines
2.3 Server Part
3 General Working Scheme
4 Applications to Discrete Event Simulation
5 Conclusion
References
Algorithm for Calculating and Using the Characteristics of a Binary Image Intended for Implementation on RCE
1 Introduction
2 Calculation of the Parameters of the Image Gradient and Constructing the Feature Vector
3 Support Vector Machine (SVM)
4 A Reconfigurable Computing Environment
5 A Model of ECs of the RCE for Calculating Binary Gradients and Their Products by Weight Coefficients
6 Conclusion
References
Evaluation of Trust in Computer-Computed Results
1 Introduction
2 The Method for Evaluation of Trust Based on Functions of Causal Influence
3 Evaluation of Trust Using Probabilistic Statistical Methods
4 Extension of the Statistical Approach to the Evaluation of Causal Bases
5 Conclusion
References
Approaches for Creating a Digital Ecosystem of an Industrial Holding
1 Introduction
2 Theoretical Basis for the Formation of a Digital Ecosystem of an Industrial Holding
3 Economic and Mathematical Model for the Development of a Digital Ecosystem of a Holding
4 Conclusion
References
Intelligent Systems for Optimal Production Control of Unique Products
1 Introduction
2 The Main Components of an Intelligent Control System for the Development and Manufacture of Unique Products
3 Systematic Approach to the Development of an Intelligent Computing Platform for Solving the Problem of Automated Control of the Development and Production of Unique Goods
4 Systematic Approach to the Development of an Intelligent Computing Platform for Solving the Problem of Automated Control of the Development and Production of Unique Goods
4.1 General Model of the Decision-Making System and Optimal Production Management at all Stages of the Life Cycle of Unique Products
4.2 Economic and Mathematical Features of the Formulation and Solution of the Optimization Problem for the Control of the Production Processes of Unique Goods
4.3 Information Bases of an Intelligent Management System for the Development and Manufacture of Unique Products
5 Conclusion
References
Author Index
π SIMILAR VOLUMES
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