We may earn an affiliate commission when you visit our partners.

Resource Allocation in Network Function Virtualization

Nan He, Song Yang, and Fan Li

Network Function Virtualization (NFV) has recently attracted considerable attention from both research and industrial communities. Numerous papers have been published regarding solving the resource- allocation problems in NFV, from various perspectives, considering different constraints, and adopting a range of techniques. However, it is difficult to get a clear impression of how to understand and classify different kinds of resource allocation problems in NFV and how to design solutions to solve these problems efficiently. This book addresses these concerns by offering a comprehensive overview and explanation of different resource allocation problems in NFV and presenting efficient solutions to solve them. It covers resource allocation problems in NFV, including an introduction to NFV and QoS parameters modelling as well as related problem definition, formulation and the respective state-of-the-art algorithms. This book allows readers to gain a comprehensive understanding of and deep insights into the resource allocation problems in NFV. It does so by exploring (1) the working principle and architecture of NFV, (2) how to model the Quality of Service (QoS) parameters in NFV services, (3) definition, formulation and analysis of different kinds of resource allocation problems in various NFV scenarios, (4) solutions for solving the resource allocation problem in NFV, and (5) possible future work in the respective area.

Read on Amazon
Read this for free with Kindle Unlimited

Save this book

Create your own learning path. Save this book to your list so you can find it easily later.
Save

Share

Help others find this book page by sharing it with your friends and followers:

Amazon Buyer Protections & Purchase Guarantee

Protected by Amazon A-to-z Guarantee & generous return policies

Amazon A-to-z Guarantee
Buyer Protection

Amazon A-to-z Guarantee

Every book purchase is protected by the Amazon A-to-z Guarantee. This guarantee covers both the condition of your book and its timely delivery, providing full buyer protection whether you purchase directly from Amazon or from third-party marketplace sellers.

Return Policy

Generous 30-Day Returns & Free Shipping

Generous 30-day return policy on physical books. Amazon makes returns effortless with self-service return labels, drop-off at thousands of local locations (Kohl's, Whole Foods, UPS Stores), and free return shipping on eligible book purchases.

Savings & Discounts

Great Savings & Member Discounts

Maximize your savings with competitive pricing, deep discounts on new and used marketplace copies, bundled textbook rentals, and exclusive member savings through Amazon Prime with free fast delivery.

Formats & Programs

Kindle, Audible & Physical Formats

Read your way across versatile digital and physical formats: instant delivery via Kindle eBooks, unlimited reading with a Kindle Unlimited subscription, audiobook listening with Audible (often featuring a 30-day free trial), or traditional paperback and hardcover editions.

Amazon Purchase Protections & Benefits
Amazon A-to-z Guarantee covering third-party & direct purchases
Generous 30-day return policy with hassle-free drop-off options
Kindle eBook editions with instant delivery on any device
Kindle Unlimited program with access to over 4 million titles
Audible audiobooks with free trial eligibility
Competitive discounts across new, used, and rental copies
Amazon Affiliate Partner Protections Policy details last reviewed: 2026-10-22
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser