Название: Modeling and Simulation of Complex Communication Networks
Автор: Muaz A. Niazi
Издательство: The Institution of Engineering and Technology
Год: 2019
Страниц: 442
Язык: английский
Формат: True PDF
Размер: 46.5 MB

Modern network systems such as Internet of Things, Smart Grid, VoIP traffic, Peer-to-Peer protocol, and social networks, are inherently complex. They require powerful and realistic models and tools not only for analysis and simulation but also for prediction.

This book covers important topics and approaches related to the modeling and simulation of complex communication networks from a complex adaptive systems perspective. The authors present different modeling paradigms and approaches as well as surveys and case studies.

With contributions from an international panel of experts, this book is essential reading for networking, computing, and communications professionals, researchers and engineers in the field of next generation networks and complex information and communication systems, and academics and advanced students working in these fields.

The technical aspects of the essence of simulation are elaborated based on the following definition: simulation is performing a goal-directed experimentation or gaining experience under controlled conditions by using dynamic models either to develop/enhance skills or for entertainment; where a dynamic model denotes a model for which behaviour and/or structure is variable over time. Hence, experimentation and experience aspects are explained. Several taxonomies, ontologies, and some ontology-based dictionaries are cited for a comprehensive and integrative perception of simulation. Finally, the evolution and increasing importance of simulation is explained.

The continued and rapid progress of network technology has revolutionized all modern critical infrastructures and business models. Technologies today are firmly relying on network and communication facilities which in turn make them dependent on network security. Network-security investments do not always guarantee the security of organizations. However, the evaluation of security solutions requires designing, testing and developing sophisticated security tools which are often very expensive. Simulation and virtualization techniques empower researchers to adapt all experimental scenarios of network security in a more cost and time-effective manner before deciding about the final security solution. This study presents a detailed guideline to model and develop a simultaneous virtualized and simulated environment for computer networks to practice different network attack scenarios.