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Dynamic Resource Management in Service-Oriented Core Networks, Zhuang Weihua, Qu Kaige


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Автор: Zhuang Weihua, Qu Kaige
Название:  Dynamic Resource Management in Service-Oriented Core Networks
ISBN: 9783030871352
Издательство: Springer
Классификация:


ISBN-10: 3030871355
Обложка/Формат: Hardcover
Страницы: 188
Вес: 0.44 кг.
Дата издания: 05.12.2021
Серия: Wireless networks
Язык: English
Издание: 1st ed. 2021
Иллюстрации: 59 illustrations, color; 130 illustrations, black and white; xii, 173 p. 189 illus., 59 illus. in color.
Размер: 23.39 x 15.60 x 1.27 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Chapter 1 Introduction

1.1 Service-Oriented Core Networks

1.1.1 Software-Defined Networking (SDN)

1.1.2 Network Function Virtualization (NFV)

1.1.3 Service Function Chaining

1.2 Network Slicing Framework

1.2.1 Infrastructure Domain

1.2.2 Tenant Domain

1.2.3 SDN-NFV Integration

1.3 Multi-Timescale Dynamic Resource Management

1.3.1 Multi-Timescale Core Network Traffic Dynamics

1.3.2 Dynamic Resource Provisioning in Large Timescale

1.3.3 Dynamic Resource Scheduling in Small Timescale

1.4 Research Contributions

1.5 Outline

References

Chapter 2 System Model

2.1 Services

2.2 Virtual Resource Pool

2.3 Placement and Scheduling of Virtual Network Function (VNF)

2.3 Migration Cost and Reconfiguration Overhead

References

Chapter 3 Dynamic Flow Migration: A Model-Based Optimization Approach

3.1 Model Assumptions

3.1.1 M/M/1 VNF Packet Processing Queueing Model

3.1.2 Generalized Processor Sharing (GPS)

3.2 Optimization Model for Dynamic Flow Migration

3.3 Mixed Integer Quadratically Constrained Programming (MIQCP) Problem Transformation

3.3.1 Optimality Gap

3.3.2 Optimal Solution Mapping

3.4 Low-Complexity Heuristic Flow Migration Algorithm

3.4.1 Algorithm Overview

3.4.2 Redistribution of Hop Delay Bounds

3.4.3 Migration Decision

3.4.4 Iterative Resource Loading Threshold Update

3.4.5 Complexity Analysis

3.5 Simulation Results

3.6 Summary

References

Chapter 4 Dynamic VNF Resource Scaling and Migration: A Machine Learning Approach

4.1 Nonstationary Traffic Model

4.2 Machine Learning Tools for Analysis and Decision

4.2.1 Bayesian Conjugate Analysis

4.2.2 Gaussian Process Regression

4.2.3 Reinforcement Learning

4.3 Resource Demand Prediction for Dynamic VNF Resource Scaling

4.3.1 Bayesian Online Change Point Detection

4.3.2 Traffic Parameter Learning

4.3.3 Resource Demand Prediction

4.4 Deep Reinforcement Learning for Dynamic VNF Migration

4.4.1 Markov Decision Process

4.4.2 Penalty-Aware Deep Q-Learning Algorithm

4.5 Simulation Results

4.6 Summary

References

Chapter 5 Dynamic VNF Scheduling for Network Utility Maximization

5.1 Discrete-Time VNF Packet Processing Queueing Model

5.1.1 Physical Packet Processing Queue

5.1.2 Delay-Aware Virtual Packet Processing Queue

5.2 Stochastic VNF Scheduling: Problem and Solution

5.2.1 Stochastic Problem Formulation

5.2.2 Lyapunov Optimization and Problem Transformation

5.2.3 Online Distributed Algorithm

5.3 VNF Scheduling with Packet Rushing

5.3.1 Packet Rushing Analysis

5.3.2 Modified VNF Scheduling Algorithm

5.4 Simulation Results

5.5 Summary

References

Chapter 6 Conclusions and Future Research Directions

6.1 Conclusions

6.2 Future Research Directions

References





Resource Management for Energy and Spectrum Harvesting Sensor Networks

Автор: Deyu Zhang; Zhigang Chen; Haibo Zhou; Xuemin (Sher
Название: Resource Management for Energy and Spectrum Harvesting Sensor Networks
ISBN: 3319537709 ISBN-13(EAN): 9783319537702
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Throughout the brief, the primary focus is energy and spectrum harvesting sensor networks (ESHNs) including energy harvesting (EH)-powered spectrum sensing and dynamic spectrum access.To efficiently collect data through the available licensed spectrum, this brief examines the joint management of energy and spectrum.

Robust Resource Allocation in Future Wireless Networks

Автор: Saeedeh Parsaeefard; Ahmad Reza Sharafat; Nader Mo
Название: Robust Resource Allocation in Future Wireless Networks
ISBN: 3319503871 ISBN-13(EAN): 9783319503875
Издательство: Springer
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Цена: 19564.00 р.
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Описание: This book presents state-of-the-art research on robust resource allocation in current and future wireless networks. Finally, the authors argue that resource allocation continues to be an important issue in future wireless networks, and propose specific problems for future research.

Radio Resource Management for Mobile Traffic Offloading in Heterogeneous Cellular Networks

Автор: Yuan Wu; Li Ping Qian; Jianwei Huang; Xuemin (Sher
Название: Radio Resource Management for Mobile Traffic Offloading in Heterogeneous Cellular Networks
ISBN: 3319510363 ISBN-13(EAN): 9783319510361
Издательство: Springer
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Цена: 7685.00 р.
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Описание: Both examples illustrate the importance of proper resource allocation to the success of traffic offloading, show the consequent performance advantages of executing optimal resource allocation, and present the methodologies to achieve the corresponding optimal offloading solution for traffic offloading in heterogeneous cellular networks.

Virtualized Cloud Data Center Networks: Issues in Resource Management.

Автор: Linjiun Tsai; Wanjiun Liao
Название: Virtualized Cloud Data Center Networks: Issues in Resource Management.
ISBN: 3319326309 ISBN-13(EAN): 9783319326306
Издательство: Springer
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Цена: 8489.00 р.
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Описание: Introduction.- Allocation of Virtual Machines.- Transformation of Data Center Networks.- Allocation of Servers.- Performance Evaluation.- Conclusion.

Resource Management for Multimedia Services in High Data Rate Wireless Networks

Автор: Ruonan Zhang; Lin Cai; Jianping Pan
Название: Resource Management for Multimedia Services in High Data Rate Wireless Networks
ISBN: 1493967177 ISBN-13(EAN): 9781493967179
Издательство: Springer
Рейтинг:
Цена: 7685.00 р.
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Описание:

This brief offers a valuable resource on principles of quality-of-service (QoS) provisioning and the related link-layer resource management techniques for high data-rate wireless networks. The primary emphasis is on protocol modeling and analysis. It introduces media access control (MAC) protocols, standards of wireless local area networks (WLANs), wireless personal area networks (WPANs), and wireless body area networks (WBANs), discussing their key technologies, applications, and deployment scenarios. The main analytical approaches and models for performance analysis of the fundamental resource scheduling mechanisms, including the contention-based, reservation-based, and hybrid MAC, are presented.
To help readers understand and evaluate system performance, the brief contains a range of simulation results. In addition, a thorough bibliography provides an additional tool. This brief is an essential resource for engineers, researchers, students, and users of wireless networks.
Cognitive Radio Oriented Wireless Networks

Автор: Mark Weichold; Mounir Hamdi; Muhammad Zeeshan Shak
Название: Cognitive Radio Oriented Wireless Networks
ISBN: 3319245392 ISBN-13(EAN): 9783319245393
Издательство: Springer
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Цена: 12298.00 р.
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Описание:

Dynamic Spectrum Access/Management.- Networking Protocols for CR.- Modeling and Theory.- HW Architecture and Implementations.- Next Generation of Cognitive Networks.- Standards and Business Models.- Emerging Applications for Cognitive Networks.

Cognitive Radio Oriented Wireless Networks

Автор: Dominique Noguet; Klaus Moessner; Jacques Palicot
Название: Cognitive Radio Oriented Wireless Networks
ISBN: 3319403516 ISBN-13(EAN): 9783319403519
Издательство: Springer
Рейтинг:
Цена: 12298.00 р.
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Описание:

Dynamic Spectrum Access/Management and Database.- Networking Protocols for Cognitive Radio.- PHY and sensing.- Hardware Architecture and Implementation.- Next Generation of Cognitive Networks.- Standards, Policies and Business Models.

Cognitive Resource Management for Heterogeneous Cellular Networks

Автор: Yongkang Liu; Xuemin (Sherman) Shen
Название: Cognitive Resource Management for Heterogeneous Cellular Networks
ISBN: 3319062832 ISBN-13(EAN): 9783319062839
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This Springer Brief focuses on cognitive resource management in heterogeneous cellular networks (Het Net) with small cell deployment for the LTE-Advanced system.

Resource Management in Satellite Networks

Автор: Giovanni Giambene
Название: Resource Management in Satellite Networks
ISBN: 1441942351 ISBN-13(EAN): 9781441942357
Издательство: Springer
Рейтинг:
Цена: 21661.00 р.
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Описание: This book provides significant knowledge on innovative radio resource management schemes for satellite communication systems that exploit lower layer adaptivity and the knowledge of layer 3 IP QoS support and transport layer behavior.

Radio Resource Management for Multimedia QoS Support in Wireless Networks

Автор: Huan Chen; Lei Huang; Sunil Kumar; C.C. Jay Kuo
Название: Radio Resource Management for Multimedia QoS Support in Wireless Networks
ISBN: 1461350921 ISBN-13(EAN): 9781461350927
Издательство: Springer
Рейтинг:
Цена: 13974.00 р.
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Описание: Therefore, the convergence of multimedia communication and wireless mobile networking technologies into the next generation wireless multimedia (WMM) networks with the vision of "anytime, anywhere, anyform" information system is the certain trend in the foreseeable future.

Cognitive Radio Oriented Wireless Networks

Автор: Marques
Название: Cognitive Radio Oriented Wireless Networks
ISBN: 3319762060 ISBN-13(EAN): 9783319762067
Издательство: Springer
Рейтинг:
Цена: 6986.00 р.
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Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks

Автор: Fernando
Название: Cooperative Spectrum Sensing and Resource Allocation Strategies in Cognitive Radio Networks
ISBN: 3319739565 ISBN-13(EAN): 9783319739564
Издательство: Springer
Рейтинг:
Цена: 7685.00 р.
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Описание: Cognitive radio networks (CRN) will be widely deployed in the near future, and this SpringerBrief covers some important aspects of it, as well as highlighting optimization strategies in Resource Allocation and Spectrum Sensing in CRNs.


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