QoS-Aware Virtual Network Embedding, 1st ed. 2021

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Language: English

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QoS-Aware Virtual Network Embedding
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QoS-Aware Virtual Network Embedding
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As an important future network architecture, virtual network architecture has received extensive attention. Virtual network embedding (VNE) is one of the core services of network virtualization (NV). It provides solutions for various network applications from the perspective of virtual network resource allocation. The Internet aims to provide global users with comprehensive coverage. The network function requests of hundreds of millions of end users have brought great pressure to the underlying network architecture. VNE algorithm can provide effective support for the reasonable and efficient allocation of network resources, so as to alleviate the pressure off the Internet.

At present, a distinctive feature of the Internet environment is that the quality of service (QoS) requirements of users are differentiated. Different regions, different times, and different users have different network function requirements. Therefore, network resources need to be reasonably allocated according to users' QoS requirements to avoid the waste of network resources.

In this book, based on the analysis of the principle of VNE algorithm, we provide a VNE scheme for users with differentiated QoS requirements. We summarize the common user requirements into four categories: security awareness, service awareness, energy awareness, and load balance, and then introduce the specific implementation methods of various differentiated QoS algorithms. This book provides a variety of VNE solutions, including VNE algorithms for single physical domain, VNE algorithms for across multiple physical domains, VNE algorithms based on heuristic method, and VNE algorithms based on machine learning method.


l  Introduction

n  Virtual network embedding

n  Differentiated QoS requirements

n  Review of related research

l  Security-Aware Virtual Network Embedding Algorithm

n  Introduction of security requirements in VNE

n  Heuristic secure virtual network embedding algorithm

n  Machine learning secure virtual network embedding algorithm

l  Service-Aware Virtual Network Embedding Algorithm

n  Description of service-aware requirements in VNE

n  Single domain service-aware VNE algorithm

n  Multi domain service-aware VNE algorithm

l  Energy-Aware Virtual Network Embedding Algorithm

n  Description of energy consumption requirements in VNE

n  Energy-aware VNE algorithm based on multi objective optimization

n  Other energy-aware VNE algorithms

l  Load Balance Virtual Network Embedding Algorithm

n  Description of load balance in VNE

n  Implementation of VNE algorithm based on load balance

l  Conclusion

Chunxiao Jiang is an associate professor in School of Information Science and Technology, Tsinghua University. He received the B.S. degree in information engineering from Beihang University, Beijing in 2008 and the Ph.D. degree in electronic engineering from Tsinghua University, Beijing in 2013, both with the highest honors. His research interests include application of game theory, optimization, and statistical theories to communication, networking, and resource allocation problems, in particular space networks and heterogeneous networks. Dr. Jiang has served as an Editor of IEEE Transactions on Communications, IEEE Internet of Things Journal, IEEE Network, IEEE Communications Letters, and a Guest Editor of IEEE Communications Magazine, IEEE Transactions on Network Science and Engineering and IEEE Transactions on Cognitive Communications and Networking. He has also served as a member of the technical program committee as well as the Symposium Chair for a number of international conferences, including IEEE CNS 2020 Publication Chair, IEEE WCSP 2019 Symposium Chair, IEEE ICC 2018 Symposium Co-Chair, IWCMC 2020/19/18 Symposium Chair, WiMob 2018 Publicity Chair, ICCC 2018 Workshop Co-Chair, and ICC 2017 Workshop Co-Chair. Dr. Jiang is the recipient of the Best Paper Award from IEEE GLOBECOM in 2013, the Best Student Paper Award from IEEE GlobalSIP in 2015, IEEE Communications Society Young Author Best Paper Award in 2017, the Best Paper Award IWCMC in 2017, IEEE ComSoc TC Best Journal Paper Award of the IEEE ComSoc TC on Green Communications & Computing 2018, IEEE ComSoc TC Best Journal Paper Award of the IEEE ComSoc TC on Communications Systems Integration and Modeling 2018, the Best Paper Award from ICC 2019, IEEE VTS Early Career Award 2020, IEEE ComSoc Asia-Pacific Best Young Researcher Award 2020, and IEEE VTS Distinguished Lecturer 2021. He received the Chinese National Second Prize in Technical Inventions Award in 2018 and Natural Science Foundation o

Is the first book that introduces virtual network embedded algorithms for differentiated QoS requirements

Introduces a variety of virtual network embedding algorithms suitable for different network ranges

Provides comprehensive and detailed virtual network embedding theory