QoS-Aware Virtual Network Embedding

Virtual network embedding (VNE) is a key service of network virtualization (NV) that provides solutions for various network applications from the perspective of virtual network resource allocation. It can help alleviate the pressure off the Internet by providing effective support for the reasonable and efficient allocation of network resources. This book provides a VNE scheme for users with differentiated QoS requirements, 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.

Format: Paperback / softback
Length: 401 pages
Publication date: 05 December 2022
Publisher: Springer Verlag, Singapore

Virtual network architecture (VNA) is a crucial component of the future of networking, receiving significant attention in the field. Virtual network embedding (VNE) is a fundamental service within network virtualization (NV), offering solutions for a wide range of network applications through the allocation of virtual network resources. The Internet's mission is to provide comprehensive coverage to users worldwide, but the increasing demand for network functions from hundreds of millions of end users has put immense pressure on the underlying network architecture. VNE algorithms play a pivotal role in addressing this challenge by efficiently allocating network resources to meet the diverse QoS requirements of users.

In the Internet environment, users' QoS requirements exhibit significant differentiation. Different regions, times, and users have distinct network function needs, necessitating the allocation of network resources based on their specific QoS demands. To prevent the waste of valuable network resources, it is crucial to allocate resources reasonably according to users' QoS requirements.

In this book, we delve into the principles of VNE algorithms and propose a scheme tailored for users with differentiated QoS requirements. We categorize common user requirements into four categories: security awareness, service awareness, energy awareness, and load balance. Subsequently, we introduce specific implementation methods for various differentiated QoS algorithms, encompassing algorithms for single physical domains, across multiple physical domains, heuristic-based methods, and machine learning-based methods.

The book offers a comprehensive range of VNE solutions, catering to diverse networking scenarios. These solutions encompass VNE algorithms designed for single physical domains, VNE algorithms that span multiple physical domains, VNE algorithms leveraging heuristic methods, and VNE algorithms based on machine learning techniques. By presenting these solutions, the book aims to provide valuable insights and guidance for architects and engineers seeking to optimize network resource allocation and enhance the quality of service in virtualized networks.

Weight: 629g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811652233
Edition number: 1st ed. 2021