Böcker av Dac-Nhuong Le

The book contains select proceedings of the 3rd International Conference on Data, Engineering, and Applications (IDEA 2021). It includes papers from experts in industry and academia that address state-of-the-art research in the areas of big data, data mining, machine learning, data science, and their associated learning systems and applications. This book will be a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of big data applications.

State-of-the-art book discusses various basic and advanced methodologies with their fundamental concepts of exploration and exploitation in network simulation including wireless simulation and WSN concepts and implementations. In addition to modeling and simulating systems, Network Modeling, Simulation and Analysis in MATLAB provides a better understanding of how real-world systems function. This enables us to predict the behavior of systems before they are actually built and to accurately analyze them under various operating conditions. The book provides comprehensive, state-of-the-art coverage of all the essential aspects of modeling and simulation both physical and conceptual systems. Various real-life examples are included, which show how simulation plays a crucial role in understanding real-world systems. The authors also explain how to effectively use MATLAB to apply the modeling and simulation techniques presented successfully. After introducing the underlying philosophy of the systems, the book offers step-by-step procedures for modeling with practical examples, and codes different types of systems using modeling techniques such as the Rayleigh fading model, BPSK modulation and demodulation, QPSK modulation and demodulation, etc. Audience The audience is the practitioner in cloud computing, computer science, software engineering, network simulation and design. This book will prepare both undergraduate and graduate students for advanced modeling and simulation courses, and will help them carry out useful simulation studies. Moreover, postgraduate students should be able to comprehend and conduct simulation research after completing this book.

This book takes the industry beyond mere definitions of cloud computing and virtualization, grid and sustainability strategies, to casting them in day-to-day operations. In Cloud Computing and Virtualization, the authors take the reader from beginning to end with the essential elements of cloud computing, its history, innovation, and demands. Through case studies and architectural models, they articulate service requirements, infrastructure, security, and outsourcing of salient computing resources. The adoption of virtualization in data centers creates the need for a new class of networks designed to support elasticity of resource allocation, increasing mobile workloads and the shift to production of virtual workloads, requiring maximum availability. Building a network that spans both physical servers and virtual machines with consistent capabilities demands a new architectural approach to designing and building the IT infrastructure. Performance, elasticity, and logical addressing structures must be considered as well as the management of the physical and virtual networking infrastructure. Once deployed, a network that is virtualization-ready can offer many revolutionary services over a common shared infrastructure. With virtualization, comes elasticity where computer capacity can be scaled up or down on demand by adjusting the number of virtual machines actively executing on a given physical server. Additionally, virtual machines can be migrated while in service from one physical server to another. Extending this further, virtualization creates "location freedom" enabling virtual machines to become portable across an ever-increasing geographical distance. Audience Computer scientists in academia and industry working on cloud computing. No matter the level of interest or experience, the reader will find clear value in this in-depth, vendor-neutral study of cloud computing and virtualization.