Highly-Distributed Systems

So, you are reading a book that aims to cover the field of recent innovations in network services and distributed systems. The book's target audience includes university and technical college students, graduate engineers and teaching staff. If you are someone else, don't worry, the topics covered may still be of interest to you!

Use case presentations and studies with in-depth technical descriptions literature accompanying the lectures on software engineering Textbook for distributed systems, web and computer network applications

Autorentext

Prof. Dr. habil. Andriy Luntovskyy is professor at the Saxon University of Cooperative Education - State Study Academy of Saxony in Dresden (BA Dresden). His "alma mater" is the Kiev University of Technology "Igor Sikorsky KPI", Ukraine (diploma with award in 1989). From 1989 until 2001, he worked at University of Technology Kiev "Igor Sikorsky KPI" Ukraine as PhD student, teaching assistant, lecturer, senior lecturer, as well as private docent. In the same timetable, he worked part-time for several companies and institutions as a software developer and project manager. From 2001 until 2008, he worked as lecturer and PostDoc at the Chair of Computer Networks at Dresden Technical University (TU Dresden). Since 2008, he obtained his position at BA Dresden. Dr. Dietbert Gütter is lecturer emeritus at Dresden Technical University (TU Dresden) and at the Saxon University of Cooperative Education - State Study Academy of Saxony in Dresden (BA Dresden). His "alma mater" is TU Dresden with his doctorate in 1974. He worked at the Chair of Computer Networks at TU Dresden for over 40 years as a researcher and continues to teach at BA Dresden and various Saxon educational institutions.

Inhalt

Introduction.- Definition for Highly-Distributed Systems.- Highly-Distributed Systems Based on Micro-Services and their Con-struction Paradigms.- 5G Networks Deployment and Service Modeling.- Cryptotechnology Blockchain and its Applications.- From Big Data to Smart Data: Best Practices for Data Analytics.- Green IT: Energy Efficient Constructions and Applications for Data Centers and Clusters.- Internet of Things (IoT): Architectures and Basic Technologies.- Internet of Things (IoT): Sensors, Robotics, Performance Consideration.- Intelligent Networking and Bio-inspired Engineering.- Robotic Apps and Platforms: Mobility, Localization, Management and Security Aspects.- Energy Efficiency and Energy Harvesting.- Contactless Communication under Use of NFC and RFID.- Energy Efficient and Blockchained IoT.- Conclusions and Outlook. <p