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This book, part of the ACM Books series, explores the evolution and impact of algorithms and computing technologies on society. It delves into various topics within computer science, including geospatial data science, the invention of the World Wide Web, logic and computational complexity, and the societal impacts of algorithms. The book features contributions from prominent scholars and experts in the field, offering insights into both historical and contemporary developments in computing. It is intended for a professional audience, including researchers, practitioners, and students in computer science and related disciplines.
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The book is part of the ACM Books series, focusing on the impact and evolution of algorithms and computing technologies in society. It covers topics such as the historical development of algorithms, their application in various fields like machine learning and artificial intelligence, and their societal implications. Key figures such as Euclid, Gödel, Turing, and von Neumann are discussed in the context of their contributions to computing. The book also addresses current issues related to AI ethics, biases in algorithms, and the influence of algorithms on politics and society. It is intended for an audience interested in computer science, technology, and their societal impacts.
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The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams).
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The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams).
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The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This Special Issue includes high-quality research papers in the fields of big data, cloud-based data analysis, and machine learning systems. In particular, wide-ranging surveys and advanced research papers are included, focusing both on aspects relating to big data (e.g., frameworks for big data analysis or systems for big data management) and on the use of big data in application areas (e.g., big data from social media or big data from streams).
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Data and knowledge play a key role in both current and future GRIDs. The issues concerning representation, discovery, and integration of data and knowledge in dynamic distributed environments can be addressed by exploiting features offered by GRID Technologies. Current research activities are leveraging the GRID for the provision of generic- and domain-specific solutions and services for data management and knowledge discovery. Knowledge and Data Management in GRIDs is the third volume of the CoreGRID series and brings together scientific contributions by researchers and scientists working on storage, data, and knowledge management in GRID and Peer-to-Peer systems. This volume presents the latest GRID solutions and research results in key areas of knowledge and data management such as distributed storage management, GRID databases, Semantic GRID and GRID-aware data mining. Knowledge and Data Management in GRIDs is designed for a professional audience, composed of researchers and practitioners in industry. This book is also suitable for graduate-level students in computer science.
Computational grids (Computer systems) --- Database management. --- Data mining. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Grid computing --- Grids, Computational (Computer systems) --- Computer systems --- Cyberinfrastructure --- Information Technology --- Computer Science (Hardware & Networks) --- Data structures (Computer scienc. --- Computer Communication Networks. --- Information storage and retrieva. --- Computer network architectures. --- Data Structures and Information Theory. --- Information Storage and Retrieval. --- Database Management. --- Computer Systems Organization and Communication Networks. --- Data Structures. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Data structures (Computer science) --- Information storage and retrieval. --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Information storage and retrieval systems. --- 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 --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Data structures (Computer science). --- Computer communication systems. --- Computer organization. --- Organization, Computer --- Electronic digital 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 --- Electronic systems --- Information networks --- Telecommunication --- Network computers --- Distributed processing --- Information theory. --- Computer networks. --- Computer engineering. --- Artificial intelligence—Data processing. --- Computer Engineering and Networks. --- Data Science. --- Computers --- Data centers --- Communication theory --- Communication --- Cybernetics --- Design and construction
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Grid Middleware and Services: Challenges and Solutions is the eighth volume of the CoreGRID series. The CoreGrid Proceedings is the premiere European event on Grid Computing. This book aims to strengthen and advance scientific and technological excellence in the area of Grid Computing. The main focus in this volume is on Grid middleware and service level agreement. Grid middleware and Grid services are two pillars of grid computing systems and applications. This book includes high-level contributions by leading researchers in both areas and presents current solutions together with future challenges. This volume includes sections on knowledge and data management on grids, Grid resource management and scheduling, Grid information, resource and workflow monitoring services, and service level agreements. Grid Middleware and Services: Challenges and Solutions is designed for a professional audience, composed of researchers and practitioners in industry. This volume is also suitable for graduate-level students in computer science. .
Computational grids (Computer systems) --- Data mining. --- Database management. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Grid computing --- Grids, Computational (Computer systems) --- Computer systems --- Cyberinfrastructure --- Information Technology --- Computer Science (Hardware & Networks) --- Computer Communication Networks. --- Computer network architectures. --- Information systems. --- Data structures (Computer scienc. --- Computer science. --- Database Management. --- Computer Systems Organization and Communication Networks. --- Information Systems and Communication Service. --- Data Structures. --- Processor Architectures. --- Data structures (Computer science) --- Informatics --- Science --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Information structures (Computer science) --- Structures, Data (Computer science) --- Structures, Information (Computer science) --- File organization (Computer science) --- Abstract data types (Computer science) --- Computer communication systems. --- Computer organization. --- Computers. --- Data structures (Computer science). --- Microprocessors. --- Minicomputers --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Organization, Computer --- Electronic digital 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 --- Electronic systems --- Information networks --- Telecommunication --- Network computers --- Distributed processing
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Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. Introduces data analysis techniques and cloud computing concepts Describes cloud-based models and systems for Big Data analytics Provides examples of the state-of-the-art in cloud data analysis Explains how to develop large-scale data mining applications on clouds Outlines the main research trends in the area of scalable Big Data analysis
Quantitative research. --- Data mining. --- Cloud computing. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data analysis (Quantitative research) --- Exploratory data analysis (Quantitative research) --- Quantitative analysis (Research) --- Quantitative methods (Research) --- Electronic data processing --- Web services --- Database searching --- Research --- Distributed processing --- Quantitative research --- Data mining --- Cloud computing
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Engineering & Applied Sciences --- Computer Science --- Parallel processing (Electronic computers) --- High performance computing. --- HPC (Computer science) --- Computer science. --- Computer system failures. --- Architecture, Computer. --- Computer programming. --- Computers. --- Algorithms. --- Numerical analysis. --- Computer Science. --- Theory of Computation. --- Computer System Implementation. --- Programming Techniques. --- System Performance and Evaluation. --- Algorithm Analysis and Problem Complexity. --- Numeric Computing. --- Mathematical analysis --- Algorism --- Algebra --- Arithmetic --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Architecture, Computer --- Computer failures --- Computer malfunctions --- Failure of computer systems --- System failures (Engineering) --- Fault-tolerant computing --- Informatics --- Science --- Foundations --- Programming --- Failures --- Cyberinfrastructure --- Supercomputers --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Information theory. --- Computer network architectures. --- Computer system performance. --- Computer software. --- Electronic data processing. --- ADP (Data processing) --- Automatic data processing --- Data processing --- EDP (Data processing) --- IDP (Data processing) --- Integrated data processing --- Office practice --- Software, Computer --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Communication theory --- Communication --- Automation --- Computer systems. --- Electronic digital computers—Evaluation. --- Numerical Analysis. --- ADP systems (Computer systems) --- Computing systems --- Systems, Computer --- Electronic systems
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