QoS - Aware Virtual Network Embedding

booksz

U P L O A D E R
fe61de0473a5972a60e92c65f122086f.jpg

Free Download QoS-Aware Virtual Network Embedding
by Chunxiao Jiang and Peiying Zhang
English | 2021 | ISBN: 9811652201 | 401 Pages | True PDF | 11.4 MB

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.



Code:
Bitte Anmelden oder Registrieren um Code Inhalt zu sehen!
Links are Interchangeable - Single Extraction
 
Kommentar

In der Börse ist nur das Erstellen neuer Download-Angebote erlaubt! Ignorierst du das, wird dein Beitrag ohne Vorwarnung gelöscht. Ein Eintrag ist offline? Dann nutze bitte den Link  Offline melden . Möchtest du stattdessen etwas zu einem Download schreiben, dann nutze den Link  Kommentieren . Beide Links findest du immer unter jedem Eintrag/Download.

Data-Load.in | Dataload.in

Auf Data-Load.in findest du Links zu kostenlosen Downloads für Filme, Serien, Dokumentationen, Anime, Animation & Zeichentrick, Audio / Musik, Software und Dokumente / Ebooks / Zeitschriften. Wir sind deine Boerse für kostenlose Downloads!

Ist Data-Load.in / Dataload.in legal?

Data-Load.in ist nicht illegal. Es werden keine zum Download angebotene Inhalte auf den Servern von Data-Load.in gespeichert.
Oben Unten