Managing Distributed Cloud Applications and Infrastructure: A Self-Optimising Approach, Lynn Theo, Mooney John G., Domaschka Jцrg
Автор: Rashid Mehmood; Simon See; Iyad Katib; Imrich Chla Название: Smart Infrastructure and Applications ISBN: 303013704X ISBN-13(EAN): 9783030137045 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Chapter1: Enterprise Systems for Networked Smart Cities.- Chapter2: Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection.- Chapter3: Automatic Detection and Validation of Smart City Events Using HPC and Apache Spark Platforms.- Chapter4: In-Memory Deep Learning Computations on GPUs for Prediction of Road Traffic Incidents using Big Data Fusion.- Chapter5: Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial.- Chapter6: Comparison of Decision Trees and Deep Learning for Object Classification in Autonomous Driving.- Chapter7: A Smart Disaster Management System for Future Cities using Deep Learning, GPUs, and In-Memory Computing.- Chapter8: Parallel Shortest Path Big Data Graph Computations of US Road Network using Apache Spark: Survey, Architecture, and Evaluation.- Chapter9: A Survey of Methods and Tools for Large-Scale DNA Mixture Profiling.- Chapter10: An Architecture to Improve Security of Cloud Computing in Healthcare Sectors.- Chapter11: The Role of Big Data and Twitter Data Analytics in Healthcare Supply Chain Management.- Chapter12: A Mobile Cloud Framework for Context-aware and Portable Recommender System for Smart Markets.- Chapter13: Association Rule Mining in Higher Education: A Case Study of Computer Science Students.- Chapter14: SelecWeb: A Software Tool for Automatic Selection of Web Frameworks.- Chapter15: On Performance of Commodity Single Board Computer based Clusters: A Big Data perspective.- Chapter16: Parallel Iterative Solution of Large Sparse Linear Equation Systems on the Intel MIC Architecture.- Chapter17: Performance Characteristics for Sparse Matrix Vector Multiplication on GPUs.- Chapter18: HPC-Smart Infrastructures: A Review and Outlook on Performance Analysis Methods and Tools.- Chapter19: Big Data Tools, Technologies and Applications: A Survey.- Chapter20: Big Data for Smart Infrastructures Design: Opportunities and Challenges.- Chapter21: Software Quality in the era of Big Data, IoT and Smart Cities.- Chapter22: Open Source and Open Data Licenses in the Smart Infrastructure Era: Review and License Selection Frameworks.- Chapter23: Big Data and HPC Convergence for Smart Infrastructures: A Review and Proposed Architecture.- Chapter24: Towards a Runtime Testing Framework for Dynamically Adaptable Internet of Things Networks in Smart Cities.- Chapter25: HCDSR: A Hierarchical Clustered Fault Tolerant Routing Technique for IoT based Smart Societies.- Chapter26: Security Testing of Internet of Things for Smart City Applications: a Formal Approach.
Chapter1: Enterprise Systems for Networked Smart Cities.- Chapter2: Sentiment Analysis of Arabic Tweets for Road Traffic Congestion and Event Detection.- Chapter3: Automatic Detection and Validation of Smart City Events Using HPC and Apache Spark Platforms.- Chapter4: In-Memory Deep Learning Computations on GPUs for Prediction of Road Traffic Incidents using Big Data Fusion.- Chapter5: Hybrid Statistical and Machine Learning Methods for Road Traffic Prediction: A Review and Tutorial.- Chapter6: Comparison of Decision Trees and Deep Learning for Object Classification in Autonomous Driving.- Chapter7: A Smart Disaster Management System for Future Cities using Deep Learning, GPUs, and In-Memory Computing.- Chapter8: Parallel Shortest Path Big Data Graph Computations of US Road Network using Apache Spark: Survey, Architecture, and Evaluation.- Chapter9: A Survey of Methods and Tools for Large-Scale DNA Mixture Profiling.- Chapter10: An Architecture to Improve Security of Cloud Computing in Healthcare Sectors.- Chapter11: The Role of Big Data and Twitter Data Analytics in Healthcare Supply Chain Management.- Chapter12: A Mobile Cloud Framework for Context-aware and Portable Recommender System for Smart Markets.- Chapter13: Association Rule Mining in Higher Education: A Case Study of Computer Science Students.- Chapter14: SelecWeb: A Software Tool for Automatic Selection of Web Frameworks.- Chapter15: On Performance of Commodity Single Board Computer based Clusters: A Big Data perspective.- Chapter16: Parallel Iterative Solution of Large Sparse Linear Equation Systems on the Intel MIC Architecture.- Chapter17: Performance Characteristics for Sparse Matrix Vector Multiplication on GPUs.- Chapter18: HPC-Smart Infrastructures: A Review and Outlook on Performance Analysis Methods and Tools.- Chapter19: Big Data Tools, Technologies and Applications: A Survey.- Chapter20: Big Data for Smart Infrastructures Design: Opportunities and Challenges.- Chapter21: Software Quality in the era of Big Data, IoT and Smart Cities.- Chapter22: Open Source and Open Data Licenses in the Smart Infrastructure Era: Review and License Selection Frameworks.- Chapter23: Big Data and HPC Convergence for Smart Infrastructures: A Review and Proposed Architecture.- Chapter24: Towards a Runtime Testing Framework for Dynamically Adaptable Internet of Things Networks in Smart Cities.- Chapter25: HCDSR: A Hierarchical Clustered Fault Tolerant Routing Technique for IoT based Smart Societies.- Chapter26: Security Testing of Internet of Things for Smart City Applications: a Formal Approach.
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