Network Virtualization and Cloud Computing
Microsoft System Center
by Nader Benmessaoud, Uma Mudigonda
DescriptionTable of ContentsDetailsHashtagsReport an issue
This brief book identifies some key usage and deployment scenarios for cloud computing to provide some deep technical background on the Microsoft SDN solution, enabling IT professionals to quickly learn the internals of HNV, how it works from end to end, and where and how it should be used. 
Book Description
As businesses move more toward cloud computing, one important factor for success is adopting multi-tenant software-defined networking (SDN) solutions in data centers. Hyper-V Network Virtualization (HNV) is a key enabler for a multi-tenant SDN solution and is essential for implementing a hybrid cloud environment where tenants can bring not only their own IPs, but their entire network topology since the virtualized networks are abstracted from the underlying fabric network. Network virtualization in general and Hyper-V Network Virtualization in particular are relatively new concepts. Unlike server virtualization, which is a mature, widely-understood technology, network virtualization still lacks this kind of broad familiarity.This brief book identifies some key usage and deployment scenarios for cloud computing to provide some deep technical background on the Microsoft SDN solution, enabling IT professionals to quickly learn the internals of HNV, how it works from end to end, and where and how it should be used.
This open book is licensed under a Open Publication License (OPL). You can download Network Virtualization and Cloud Computing ebook for free in PDF format (6.8 MB).
Table of Contents
Chapter 1
Hyper-V Network Virtualization internals
Chapter 2
Implementing cloud computing with Network Virtualization
Book Details
Title
Network Virtualization and Cloud Computing
Subject
Computer Science
Publisher
Microsoft Press
Published
2014
Pages
98
Edition
1
Language
English
ISBN13 Digital
9780735683068
ISBN10 Digital
0735683069
PDF Size
6.8 MB
License
Open Publication License
Related Books
The Internet of Things offers massive societal and economic opportunities while at the same time significant challenges, not least the delivery and management of the technical infrastructure underpinning it, the deluge of data generated from it, ensuring privacy and security, and capturing value from it.
This open access pivot explores these chall...
This free book was prepared as a Final Publication of the COST Action IC1304 "Autonomous Control for a Reliable Internet of Services (ACROSS)". The book contains 14 chapters and constitutes a show-case of the main outcome of the Action in line with its scientific goals. It will serve as a valuable reference for undergraduate and post-grad...
This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is beco...
This book introduces a novel approach to the design and operation of large ICT systems. It views the technical solutions and their stakeholders as complex adaptive systems and argues that traditional risk analyses cannot predict all future incidents with major impacts. To avoid unacceptable events, it is necessary to establish and operate anti-frag...
The importance of demonstrating the value achieved from IT investments is long established in the Computer Science (CS) and Information Systems (IS) literature. However, emerging technologies such as the ever-changing complex area of cloud computing present new challenges and opportunities for demonstrating how IT investments lead to business value...
Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery, cla...