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Heterogeneous computing --- Computer architecture --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers)

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Supercomputers. --- Heterogeneous computing. --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers) --- Electronic digital computers

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With the growing popularity of the Semantic Web, more and more semantic data and data sources become available and accessible for everyone. By establishing semantic links between the data, answers to (complex) queries can be evaluated based on the data on multiple providers instead of just one. This book motivates, introduces, and details techniques for processing heterogeneous structured data on the Web by providing a comprehensive overview for database researchers and practitioners about this new publishing paradigm on the web, and show how the abundance of data published as Linked Data can serve as a fertile ground for database research and experimentation--

Information systems --- Library automation --- Computer architecture. Operating systems --- Linked data --- Database management --- Data structures (Computer science) --- Semantic web --- Heterogeneous computing --- Linked data. --- Database management. --- Semantic Web. --- Heterogeneous computing. --- Computers --- Database Management --- General. --- Data Mining. --- Internet --- Data structures (Computer science).

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This open access book provides an overview of the work developed within the SODALITE project, which aims at facilitating the deployment and operation of distributed software on top of heterogeneous infrastructures, including cloud, HPC and edge resources. The experts participating in the project describe how SODALITE works and how it can be exploited by end users. While multiple languages and tools are available in the literature to support DevOps teams in the automation of deployment and operation steps, still these activities require specific know-how and skills that cannot be found in average teams. The SODALITE framework tackles this problem by offering modelling and smart editing features to allow those we call Application Ops Experts to work without knowing low level details about the adopted, potentially heterogeneous, infrastructures. The framework offers also mechanisms to verify the quality of the defined models, generate the corresponding executable infrastructural code, automatically wrap application components within proper execution containers, orchestrate all activities concerned with deployment and operation of all system components, and support on-the-fly self-adaptation and refactoring.

Computer software --- Software engineering. --- Development --- Management. --- Computer software engineering --- Engineering --- Heterogeneous Computing --- Cloud, Edge --- HPC --- IaC --- DevOps --- Semantic Reasoning

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Wireless communication systems --- Heterogeneous computing --- Communication systems, Wireless --- Wireless data communication systems --- Wireless information networks --- Wireless telecommunication systems --- Telecommunication systems --- Heterogeneous processing (Computers) --- High performance computing --- Parallel processing (Electronic computers) --- Quality control