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reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic;
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techniques for big data, high performance cloud computing, resource management in big data platforms, scheduling algorithms for big data processing;
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. Presents opportunities for profitably applying statistics in the era of Big Data and Industrial Internet of Things (IIoT) utilizing, for example;
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. Presents opportunities for profitably applying statistics in the era of Big Data and Industrial Internet of Things (IIoT) utilizing, for example;
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underlying management mechanisms, including data center virtualization and networking, cloud security and reliability, big data analytics, scientific;
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This book explores the security and privacy issues of Cloud Computing and Big Data, providing essential insights into cloud computing and;
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. In addition, the book: Explores dominant themes in cloud-based systems, including design correctness, support for big data and analytics;
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Software Architecture for Big Data and the Cloud is designed to be a single resource that brings together research on how software;
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This book constitutes the revised selected papers of the 7th International Conference on Cloud Computing and Big Data, JCC&BD 2019, held;
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This book presents the outcomes of the Third National Conference on Communication, Cloud and Big Data (CCB) held on November 2-3, 2018, at;
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This book presents the outcomes of the Third National Conference on Communication, Cloud and Big Data (CCB) held on November 2-3, 2018, at;
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Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital;
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This book constitutes the refereed proceedings of the Second International Conference on Cloud Computing and Big Data, CloudCom-Asia 2015;
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titles Big-Data Analytics and Cloud Computing, Guide to Cloud Computing and Cloud Computing for Enterprise Architectures.;
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Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to;
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As big data becomes increasingly pervasive and cloud computing utilization becomes the norm, the security and privacy of our systems and;
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This book constitutes the revised selected papers of the 8th International Conference on Cloud Computing, Big Data & Emerging Topics, JCC;
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The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main;
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Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has;
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creating a private cloud and then installs and examines Apache Brooklyn. After that, he uses each chapter to introduce one piece of the big data;
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presents case studies examining cloud services, their challenges, and the reliability mechanisms used by cloud service providers. These case;
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presents case studies examining cloud services, their challenges, and the reliability mechanisms used by cloud service providers. These case;
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are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing;
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are generating a tremendous flow of data, commonly known as big data. In the context of growing demand for big data analytics, cloud computing;
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This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. The papers discuss the recent;
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