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Electronic data processing. --- Punched card systems. --- Codes for punched card systems --- Data processing --- Perforated card systems --- Punch-card systems --- Punched card systems --- Card system in business --- Computer input-output equipment --- Computer storage devices --- Indexing --- Information storage and retrieval systems --- Information theory --- Tabulating machines --- ADP (Data processing) --- Automatic data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Business --- Automation

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This book explores the most recent Edge and Distributed Cloud computing research and industrial advances, settling the basis for Advanced Swarm Computing developments. It features the Swarm computing concepts and realizes it as an Ad-hoc Edge Cloud architecture. Unlike current techniques in Edge and Cloud computing that solely view IoT connected devices as sources of data, Swarm computing aims at using the compute capabilities of IoT connected devices in coordination with current Edge and Cloud computing innovations. In addition to being more widely available, IoT-connected devices are also quickly becoming more sophisticated in terms of their ability to carry considerable compute and storage resources. Swarm computing and Ad-hoc Edge Cloud take full advantage of this trend to create on-demand, autonomic and decentralized self-managed computing infrastructures. Focusing on cognitive resource and service management, the book examines the specific research challenges of the Swarm computing approach, related to the characteristics of IoT connected devices that form the infrastructure. It also offers academics and practitioners insights for future research in the fields of Edge and Swarm computing.

Cloud Computing. --- Mobile computing. --- Internet of things. --- Mobile Computing. --- Internet of Things. --- IoT (Computer networks) --- Things, Internet of --- Computer networks --- Embedded Internet devices --- Machine-to-machine communications --- Electronic data processing --- Context-aware computing --- Portable computers --- Web services --- Distributed processing --- Cloud computing. --- Swarm intelligence. --- Technological innovations. --- Collective intelligence --- Cellular automata --- Distributed artificial intelligence --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Automation

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This book offers an introduction to the topic of data science based on the visual processing of data. It deals with ethical considerations in the digital transformation and presents a process framework for the evaluation of technologies. It also explains special features and findings on the failure of data science projects and presents recommendation systems in consideration of current developments. Machine learning functionality in business analytics tools is compared and the use of a process model for data science is shown. The integration of renewable energies using the example of photovoltaic systems, more efficient use of thermal energy, scientific literature evaluation, customer satisfaction in the automotive industry and a framework for the analysis of vehicle data serve as application examples for the concrete use of data science. The book offers important information that is just as relevant for practitioners as for students and teachers. The Content Introduction to Data Science Systems, tools and methods Applications The target groups IT consultants and management consultants Project managers and project staff Students and teachers of business informatics, computer science and business administration The editors Prof. Dr Thomas Barton is a professor at Worms University of Applied Sciences. His focus is on the development of operational applications, e-business, cloud computing and data science. Prof. Dr Christian Müller is a professor at the Technical University of Wildau. His focus is on operations research, simulation of business processes and internet technologies.

Big data. --- Data mining. --- Electronic data processing. --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Computers --- Office practice --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data sets, Large --- Large data sets --- Data sets --- Automation --- Artificial intelligence—Data processing. --- Information storage and retrieval systems. --- Business information services. --- Business—Data processing. --- Data Science. --- Information Storage and Retrieval. --- Data Mining and Knowledge Discovery. --- IT in Business. --- Business Informatics. --- Big Data. --- Business --- Business enterprises --- Information services --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data centers --- Digital libraries --- Information organization --- Information retrieval

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This book constitutes the refereed proceedings of the 19th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2022, held in Izola, Slovenia, in September 2022. The 4 full papers presented in this book were carefully reviewed and selected from 22 submissions. In addition, this book includes 6 work-in-progress papers, 4 new ideas paper, and two invited papers. This series of conferences serves as a meeting place to bring together distributed systems expertise (e.g., in resource allocation, quality of service management, and energy consumption) with economics expertise (focusing on both micro- and macro-economic modelling and analysis) for creating effective solutions in this space. .

Computer networks. --- Computers, Special purpose. --- Computer systems. --- Programming languages (Electronic computers). --- Operating systems (Computers). --- Artificial intelligence. --- Computer Communication Networks. --- Special Purpose and Application-Based Systems. --- Computer System Implementation. --- Programming Language. --- Operating Systems. --- Artificial Intelligence. --- Computer languages --- Computer program languages --- Computer programming languages --- Machine language --- Electronic data processing --- Languages, Artificial --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems --- Cyberinfrastructure --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Special purpose computers --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Information networks --- Telecommunication --- Network computers --- Operating systems --- Distributed processing --- Cloud computing --- Computational grids (Computer systems) --- Economic aspects --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Office practice --- Web services --- Automation