Lecture Notes on Data Engineering and Communications Technologies

P2P, Grid, Cloud and Internet computing technologies have been very fast established as breakthrough paradigms for solving complex problems by enabling aggregation and sharing of an increasing variety of distributed computational resources on a large scale. 

Grid Computing originated as a paradigm for high performance computing, as an alternative to expensive supercomputers through different forms of large-scale distributed computing. P2P Computing emerged as a new paradigm after client-server and web-based computing and has shown useful to the development of social networking, B2B (Business to Business), B2C (Business to Consumer), B2G (Business to Government), B2E (Business to Employee), and so on. Parallel Computing is an essential computational paradigm for solving complicated problems quickly. It divides a scientific computing problem into several small computing tasks and concurrently runs these tasks by utilizing parallel hardware and overcoming the memory constraint. Parallel computing is an important part of Cloud environment. However, there are significant differences between cloud computing and parallel computing. Cloud Computing has been defined as a “computing paradigm where the boundaries of computing are determined by economic rationale rather than technical limits”. Cloud computing has fast become the computing paradigm with applicability and adoption in all application domains and providing utility computing at large scale. Finally, Internet Computing is the basis of any large-scale distributed computing paradigms; it has very fast developed into a vast area of flourishing field with enormous impact on today’s information societies serving thus as a universal platform comprising a large variety of computing forms such as Grid, P2P, Cloud and Mobile computing.

The aim of the volume “Advances on P2P, Parallel, Grid, Cloud and Internet Computing” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to P2P, Grid, Cloud and Internet computing as well as to reveal synergies among such large-scale computing paradigms.

This volume explores the forefront of AI innovation in building secure, sustainable, and intelligent systems. From adaptive blockchain solutions for IoT and advances in photonic quantum computing to DNS-based cyber defense and disaster-resilient sensor networks, the research presented addresses critical challenges in digital infrastructure. Additional highlights include AI-driven environmental forecasting, assistive technologies for dyslexia, and machine learning applications in law enforcement—demonstrating AI’s expanding role in safeguarding infrastructure, optimizing resources, and advancing societal resilience.

This volume showcases transformative AI research addressing real-world challenges across healthcare, education, law, and digital security. Highlights include explainable deep learning for berry classification, AI-driven communication skill assessment in virtual interviews, and Arabic legal judgment prediction systems. From Quran recitation tools for children and retinal disease diagnosis to DeepFake detection, post-quantum cryptography, and socio-economic impact modeling, these works reflect AI’s growing role in building a smarter, safer, and more inclusive future.

The authors explore various aspects of information processing for the design of service systems, efficient management, secure storage, and transmission. In addition, the subline provides knowledge and practice in decentralized ICT technologies, including those based on blockchain. The aim of this book is to analyze and develop methods of building decentralized private databases without the presence of a trusted party, methods of data processing in encrypted form to ensure the confidentiality of information, and accessibility of the corresponding fragment of the original or transformed data. In this book it is also relevant to research methods and protocols routing in infocommunication networks, which provides load balancing in the network, and analysis of intrusion detection methods based on analysis of signatures and anomalies in network behavior (state changes) based on machine learning and fractal analysis methods.