Описание: In this practical and comprehensive guide, author Martin Kleppmann helps you navigate this diverse landscape by examining the pros and cons of various technologies for processing and storing data.
Автор: Weizhong Qiang; Xianghan Zheng; Ching-Hsien Hsu Название: Cloud Computing and Big Data ISBN: 3319284290 ISBN-13(EAN): 9783319284293 Издательство: Springer Рейтинг: Цена: 7826.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the refereed proceedings of theSecond International Conference on Cloud Computing and Big Data, CloudCom-Asia2015, held in Huangshan, China, in June 2015. The 29 full papers and two keynote speeches werecarefully reviewed and selected from 106 submissions.
Описание: This proceedings volume contains selected papers that were presented in the 3rd International Symposium on Big data and Cloud Computing Challenges, 2016 held at VIT University, India on March 10 and 11.
Автор: Xiaolin Li; Judy Qiu Название: Cloud Computing for Data-Intensive Applications ISBN: 1493955152 ISBN-13(EAN): 9781493955152 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents a range of cloud computing platforms for data-intensive scientific applications. algorithms that manage vast cloud resources and applications runtime; Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks.
Автор: Sourav Mazumder; Robin Singh Bhadoria; Ganesh Chan Название: Distributed Computing in Big Data Analytics ISBN: 3319598333 ISBN-13(EAN): 9783319598338 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: However, the current literature available in big data analytics needs a holistic perspective to highlight the relation between big data analytics and distributed processing for ease of understanding and practitioner use.This book fills the literature gap by addressing key aspects of distributed processing in big data analytics.
Автор: Lucio Grandinetti; Seyedeh Leili Mirtaheri; Reza S Название: High-Performance Computing and Big Data Analysis ISBN: 3030334945 ISBN-13(EAN): 9783030334949 Издательство: Springer Рейтинг: Цена: 12856.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes revised and selected papers from the Second International Congress on High-Performance Computing and Big Data Analysis, TopHPC 2019, held in Tehran, Iran, in April 2019.
The 37 full papers and 2 short papers presented in this volume were carefully reviewed and selected from a total of 103 submissions. The papers in the volume are organized acording to the following topical headings: deep learning; big data analytics; Internet of Things.- data mining, neural network and genetic algorithms; performance issuesand quantum computing.
Автор: Sudeep Tanwar; Sudhanshu Tyagi; Neeraj Kumar Название: Multimedia Big Data Computing for IoT Applications ISBN: 9811387583 ISBN-13(EAN): 9789811387586 Издательство: Springer Рейтинг: Цена: 11179.00 р. Наличие на складе: Поставка под заказ.
Описание: This book considers all aspects of managing the complexity of Multimedia Big Data Computing (MMBD) for IoT applications and develops a comprehensive taxonomy. It also discusses a process model that addresses a number of research challenges associated with MMBD, such as scalability, accessibility, reliability, heterogeneity, and Quality of Service (QoS) requirements, presenting case studies to demonstrate its application. Further, the book examines the layered architecture of MMBD computing and compares the life cycle of both big data and MMBD. Written by leading experts, it also includes numerous solved examples, technical descriptions, scenarios, procedures, and algorithms.
Описание: Overviewing problems involved in engineering scalable, elastic, and cost-efficient cloud computing services, this book describes the CloudScale method a description of rescuing tools and the required steps to exploit these tools. With the CloudScale method, software architects can analyze both existing and planned IT services.
Автор: Timos Sellis; Konstantinos Oikonomou Название: Algorithmic Aspects of Cloud Computing ISBN: 3319570447 ISBN-13(EAN): 9783319570440 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the thoroughly refereed post-conference proceedings of the Second International Workshop on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2016, held in Aarhus, Denmark, in August 2016. transactional models and algorithms for cloud databases;
Автор: Yu Wang; Hui Xiong; Shlomo Argamon; XiangYang Li; Название: Big Data Computing and Communications ISBN: 3319220462 ISBN-13(EAN): 9783319220468 Издательство: Springer Рейтинг: Цена: 10062.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book constitutes the proceedings of the First International Conference on Big Data Computing and Communications, BigCom 2015, held in Taiyuan, China, in August 2015. They were organized in topical sections named: wireless communication and networks; sensor networks and RFID; social networks and recommendation;
Автор: Xingming Sun; Alex Liu; Han-Chieh Chao; Elisa Bert Название: Cloud Computing and Security ISBN: 3319486705 ISBN-13(EAN): 9783319486703 Издательство: Springer Рейтинг: Цена: 10342.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This two volume set LNCS 10039 and LNCS 10040 constitutes the thoroughly refereed post-conference proceedings of the Second International Conference on Cloud Computing and Security, ICCCS 2016, held in Nanjing, China, during July 29-31, 2016. The 97 papers of these volumes were carefully reviewed and selected from 272 submissions.
This book provides a comprehensive picture of fog computing technology, including of fog architectures, latency aware application management issues with real time requirements, security and privacy issues and fog analytics, in wide ranging application scenarios such as M2M device communication, smart homes, smart vehicles, augmented reality and transportation management.
This book explores the research issues involved in the application of traditional shallow machine learning and deep learning techniques to big data analytics. It surveys global research advances in extending the conventional unsupervised or clustering algorithms, extending supervised and semi-supervised algorithms and association rule mining algorithms to big data Scenarios. Further it discusses the deep learning applications of big data analytics to fields of computer vision and speech processing, and describes applications such as semantic indexing and data tagging. Lastly it identifies 25 unsolved research problems and research directions in fog computing, as well as in the context of applying deep learning techniques to big data analytics, such as dimensionality reduction in high-dimensional data and improved formulation of data abstractions along with possible directions for their solutions.
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