001441493 000__ 05594cam\a2200553Ia\4500 001441493 001__ 1441493 001441493 003__ OCoLC 001441493 005__ 20230309004742.0 001441493 006__ m\\\\\o\\d\\\\\\\\ 001441493 007__ cr\un\nnnunnun 001441493 008__ 220105s2021\\\\si\\\\\\o\\\\\000\0\eng\d 001441493 019__ $$a1290814202$$a1291314006$$a1292518057$$a1294365495 001441493 020__ $$a9789811652219$$q(electronic bk.) 001441493 020__ $$a981165221X$$q(electronic bk.) 001441493 020__ $$z9811652201 001441493 020__ $$z9789811652202 001441493 0247_ $$a10.1007/978-981-16-5221-9$$2doi 001441493 035__ $$aSP(OCoLC)1290840507 001441493 040__ $$aYDX$$beng$$cYDX$$dGW5XE$$dEBLCP$$dDKU$$dOCLCO$$dDCT$$dOCLCF$$dOCLCO$$dUKAHL$$dOCLCQ 001441493 049__ $$aISEA 001441493 050_4 $$aTK5105.548 001441493 08204 $$a004.6$$223 001441493 1001_ $$aJiang, Chunxiao,$$d1987-$$eauthor. 001441493 24510 $$aQoS-aware virtual network embedding /$$cChunxiao Jiang, Peiying Zhang. 001441493 260__ $$aSingapore :$$bSpringer,$$c2021. 001441493 300__ $$a1 online resource 001441493 336__ $$atext$$btxt$$2rdacontent 001441493 337__ $$acomputer$$bc$$2rdamedia 001441493 338__ $$aonline resource$$bcr$$2rdacarrier 001441493 347__ $$atext file$$bPDF$$2rda 001441493 5050_ $$aChapter 1. Introduction -- Chapter 2. Introduction of security requirements in VNE -- Chapter 3. Security Aware Virtual Network Embedding Algorithm using Information Entropy TOPSIS -- Chapter 4. Security-Aware Virtual Network Embedding Algorithm based on Reinforcement Learning -- Chapter 5. VNE Solution for Network Differentiated QoS and Security Requirements From the Perspective of Deep Reinforcement Learning -- Chapter 6. Resource Management and Security Scheme of ICPSs and IoT Based on VNE Algorithm -- Chapter 7. Description of service-aware requirements in VNE -- Chapter 8. Virtual Network Embedding based on Modified Genetic Algorithm -- Chapter 9. VNE-HPSO Virtual Network Embedding Algorithm based On Hybrid Particle Swarm Optimization -- Chapter 10. Topology based Reliable Virtual Network Embedding from a QoE Perspective -- Chapter 11. "DSCD Delay Sensitive Cross-Domain Virtual Network Embedding Algorithm" -- Chapter 12."A Multi-Domain Virtual Network Embedding Algorithm with Delay Prediction" -- Chapter 13. "Description of energy consumption requirements in VNE" -- Chapter 14. A"Multi-objective Enhanced Particle Swarm Optimization in Virtual Network Embedding" -- Chapter 15. "Incorporating Energy and Load Balance into Virtual Network Embedding Process" -- Chapter 16. "IoV Scenario Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode" -- Chapter 17. Description of load balance in VNE -- Chapter 18."A Multi-Domain VNE Algorithm based on Load Balancing in the IoT Networks" -- Chapter 19."Virtual Network Embedding based on Computing, Network and Storage Resource Constraints" -- Chapter 20. Virtual Network Embedding using Node Multiple Metrics based on Simplified ELECTRE Method -- Chapter 21."VNE Strategy based on Chaotic Hybrid Flower Pollination Algorithm Considering Multi-criteria Decision Making" -- Chapter 22. Conclusion. 001441493 506__ $$aAccess limited to authorized users. 001441493 520__ $$aAs an important future network architecture, virtual network architecture has received extensive attention. Virtual network embedding (VNE) is one of the core services of network virtualization (NV). It provides solutions for various network applications from the perspective of virtual network resource allocation. The Internet aims to provide global users with comprehensive coverage. The network function requests of hundreds of millions of end users have brought great pressure to the underlying network architecture. VNE algorithm can provide effective support for the reasonable and efficient allocation of network resources, so as to alleviate the pressure off the Internet. At present, a distinctive feature of the Internet environment is that the quality of service (QoS) requirements of users are differentiated. Different regions, different times, and different users have different network function requirements. Therefore, network resources need to be reasonably allocated according to users' QoS requirements to avoid the waste of network resources. In this book, based on the analysis of the principle of VNE algorithm, we provide a VNE scheme for users with differentiated QoS requirements. We summarize the common user requirements into four categories: security awareness, service awareness, energy awareness, and load balance, and then introduce the specific implementation methods of various differentiated QoS algorithms. This book provides a variety of VNE solutions, including VNE algorithms for single physical domain, VNE algorithms for across multiple physical domains, VNE algorithms based on heuristic method, and VNE algorithms based on machine learning method. 001441493 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 14, 2022). 001441493 650_0 $$aQuality of service (Computer networks) 001441493 650_0 $$aVirtual computer systems. 001441493 650_0 $$aEmbedded computer systems. 001441493 650_6 $$aQualité de service (Réseaux d'ordinateurs) 001441493 650_6 $$aSystèmes virtuels (Informatique) 001441493 650_6 $$aSystèmes enfouis (Informatique) 001441493 655_0 $$aElectronic books. 001441493 7001_ $$aZhang, Peiying,$$eauthor.$$0(orcid)0000-0002-0990-5581$$1https://orcid.org/0000-0002-0990-5581 001441493 77608 $$iPrint version: $$z9811652201$$z9789811652202$$w(OCoLC)1260132327 001441493 852__ $$bebk 001441493 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-16-5221-9$$zOnline Access$$91397441.1 001441493 909CO $$ooai:library.usi.edu:1441493$$pGLOBAL_SET 001441493 980__ $$aBIB 001441493 980__ $$aEBOOK 001441493 982__ $$aEbook 001441493 983__ $$aOnline 001441493 994__ $$a92$$bISE