nach der Bestellung gedruckt Neuware - Printed after ordering - Continuous improvements in data analysis and cloud computing have allowed more opportunities to develop systems with user-focused designs. This not only leads to higher success in day-to-day usage, but it increases the overall probability of technology adoption. Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications is a key resource on the latest innovations in cloud database systems and their impact on the daily lives of people in modern society. Highlighting multidisciplinary studies on information storage and retrieval, big data architectures, and artificial intelligence, this publication is an ideal reference source for academicians, researchers, scientists, advanced level students, technology developers and IT officials.

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Bibliographic Details

Title: Advancing Cloud Database Systems and Capacity Planning With Dynamic Applications
Publisher: Information Science Reference
Publication Date: 2017
Language: English
ISBN 10: 1522520139
ISBN 13: 9781522520139
Binding: Buch
Condition: Neu
Dimensions: 286 millimeters width by 221 millimeters height by 29 millimeters depth
Weight: 1408 grams

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Synopsis

Computer scientists provide a bridge between cloud computing and big data analytics in terms of systems, processing, and applications. Their topics include cloud-based platforms and infrastructures: provisioning physical and virtual networks, advances in dynamic virtual machine management for cloud data centers, big data optimization for customer discounts in cloud computing environments, denial of service attacks over a cloud environment: a literature survey, and a user-centered log-based information retrieval system using web log mining: an efficient information retrieval system. Annotation �2017 Ringgold, Inc., Portland, OR (protoview.com)

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Narendra Kumar Kamila, CV Raman College of Engineering, India.

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