A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems?

Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature.

The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how:

The existing fog and edge architecture is used to provide solutions to future challenges.
A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare.
An optimization framework helps in cloud resource management.
Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production.
Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers.
The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.

About the Author:

Dr. Punit Gupta is currently working as associate professor in the department of computer and communication engineering at Manipal University Jaipur, India.

Dr. Dinesh Kumar Saini is a full professor at the School of Computing and Information Technology, Manipal University.

Dr. Pradeep Rawat is affiliated with DIT University, India.

Dr. Kashif Zia is currently working as an associate professor in the faculty of computing and information technology, Sohar University, Oman.

"About this title" may belong to another edition of this title.

Store Description

Professional Book Seller offering fast shipping and hassle-free returns for every order. Our 100% satisfaction policy guarantees that you get the best product and the best service at the best price!

Visit Seller's Storefront

Seller's business information

Basi6 International LLC
1018 Camino Lago, Irving, TX, 75039, U.S.A.

Terms of Sale:

Professional Book Seller shipping from Multiple Locations Worldwide for fastest delivery possible!

If you are a consumer you can cancel the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.

INFORMATION REGARDING THE RIGHT OF CANCELLATION

Statutory Right to cancel

You have the right to cancel this contract within 14 days without giving any reason.

The cancellation period will expire af...

More Information

Shipping Terms:

All orders shipped via FedEx or DHL and delivered to your doorstep within 3-5 days. We do not ship to P.O.Boxes and a proper street address must be provided to avoid any delays.

Payment Methods
accepted by seller

Add to Wants

Items related to Bio-Inspired Optimization in Fog and Edge Computing...

Bio-Inspired Optimization in Fog and Edge Computing Environments

Punit Gupta, Dinesh Kumar Saini, Pradeep Rawat, Kashif Zia

New - Hardcover

Seller's business information