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To the Cloud: Big Data in a Turbulent World, Mosco Vincent


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Автор: Mosco Vincent
Название:  To the Cloud: Big Data in a Turbulent World
ISBN: 9781612056159
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1612056156
Обложка/Формат: Hardback
Страницы: 284
Вес: 0.54 кг.
Дата издания: 20.06.2014
Язык: English
Размер: 242 x 152 x 20
Читательская аудитория: General (us: trade)
Ключевые слова: Politics & government, SOCIAL SCIENCE / Sociology / General
Подзаголовок: Big data in a turbulent world
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Поставляется из: Европейский союз
Описание: Cloud computing and big data are arguably the most significant forces in information technology today

To the Cloud: Big Data in a Turbulent World

Автор: Mosco Vincent
Название: To the Cloud: Big Data in a Turbulent World
ISBN: 1612056164 ISBN-13(EAN): 9781612056166
Издательство: Taylor&Francis
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Цена: 37760.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Cloud computing and big data are arguably the most significant forces in information technology today

Systems Simulation And Modeling For Cloud Computing And Big Data Applications

Автор: Peter, Dinesh
Название: Systems Simulation And Modeling For Cloud Computing And Big Data Applications
ISBN: 012819779X ISBN-13(EAN): 9780128197790
Издательство: Elsevier Science
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Цена: 105540.00 T
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Описание:

Systems Simulation and Modelling for Cloud Computing and Big Data Applications provides readers with the most current approaches to solving problems through the use of models and simulations, presenting SSM based approaches to performance testing and benchmarking that offer significant advantages. For example, multiple big data and cloud application developers and researchers can perform tests in a controllable and repeatable manner. Inspired by the need to analyze the performance of different big data processing and cloud frameworks, researchers have introduced several benchmarks, including BigDataBench, BigBench, HiBench, PigMix, CloudSuite and GridMix, which are all covered in this book.

Despite the substantial progress, the research community still needs a holistic, comprehensive big data SSM to use in almost every scientific and engineering discipline involving multidisciplinary research. SSM develops frameworks that are applicable across disciplines to develop benchmarking tools that are useful in solutions development.


Reliability Assurance of Big Data in the Cloud

Автор: Yun Yang
Название: Reliability Assurance of Big Data in the Cloud
ISBN: 0128025727 ISBN-13(EAN): 9780128025727
Издательство: Elsevier Science
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Цена: 53890.00 T
Наличие на складе: Невозможна поставка.
Описание: With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly cost-effective manner. This book focuses on the trade-off between data storage cost and data reliability assurance for big data in the Cloud. Throughout the whole Cloud data lifecycle, four major features are presented: first, a novel generic data reliability model for describing data reliability in the Cloud; second, a minimum replication calculation approach for meeting a given data reliability requirement to facilitate data creation; third, a novel cost-effective data reliability assurance mechanism for big data maintenance, which could dramatically reduce the storage space needed in the Cloud; fourth, a cost-effective strategy for facilitating data creation and recovery, which could significantly reduce the energy consumption during data transfer.

Advances in Mobile Cloud Computing and Big Data in the 5G Era

Автор: Mavromoustakis
Название: Advances in Mobile Cloud Computing and Big Data in the 5G Era
ISBN: 331945143X ISBN-13(EAN): 9783319451435
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book reports on the latest advances on the theories, practices, standards and strategies that are related to the modern technology paradigms, the Mobile Cloud computing (MCC) and Big Data, as the pillars and their association with the emerging 5G mobile networks.The book includes 15 rigorously refereed chapters written by leading international researchers, providing the readers with technical and scientific information about various aspects of Big Data and Mobile Cloud Computing, from basic concepts to advanced findings, reporting the state-of-the-art on Big Data management. It demonstrates and discusses methods and practices to improve multi-source Big Data manipulation techniques, as well as the integration of resources availability through the 3As (Anywhere, Anything, Anytime) paradigm, using the 5G access technologies.

Big-data analytics and cloud computing

Название: Big-data analytics and cloud computing
ISBN: 3319253115 ISBN-13(EAN): 9783319253114
Издательство: Springer
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Цена: 65210.00 T
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Описание: This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Topics and features: describes the innovative advances in theoretical aspects of big data, predictive analytics and cloud-based architectures;

Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16`)

Автор: V. Vijayakumar; V. Neelanarayanan
Название: Proceedings of the 3rd International Symposium on Big Data and Cloud Computing Challenges (ISBCC – 16`)
ISBN: 3319303473 ISBN-13(EAN): 9783319303475
Издательство: Springer
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Цена: 214280.00 T
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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.

Managing Big Data in Cloud Computing Environments

Автор: Ma Zongmin
Название: Managing Big Data in Cloud Computing Environments
ISBN: 1466698349 ISBN-13(EAN): 9781466698345
Издательство: Mare Nostrum (Eurospan)
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Цена: 189420.00 T
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Описание: Cloud computing has proven to be a successful paradigm of service-oriented computing, and has revolutionized the way computing infrastructures are abstracted and used. By means of cloud computing technology, massive data can be managed effectively and efficiently to support various aspects of problem solving and decision making.Managing Big Data in Cloud Computing Environments explores the latest advancements in the area of data management and analysis in the cloud. Providing timely, research-based information relating to data storage, sharing, extraction, and indexing in cloud systems, this publication is an ideal reference source for graduate students, IT specialists, researchers, and professionals working in the areas of data and knowledge engineering.

Cloud Computing and Big Data: Technologies, Applications and Security

Автор: Zbakh
Название: Cloud Computing and Big Data: Technologies, Applications and Security
ISBN: 3319977180 ISBN-13(EAN): 9783319977188
Издательство: Springer
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Цена: 214280.00 T
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Описание: This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services.

Big Data Processing Using Spark in Cloud

Автор: Mittal
Название: Big Data Processing Using Spark in Cloud
ISBN: 9811305498 ISBN-13(EAN): 9789811305498
Издательство: Springer
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Цена: 93160.00 T
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Описание: The book describes the emergence of big data technologies and the role of Spark in the entire big data stack.

Security and Privacy for Big Data, Cloud Computing and Applications

Автор: Wang Lizhe, Ren Wei, Choo Kim-Kwang Raymond
Название: Security and Privacy for Big Data, Cloud Computing and Applications
ISBN: 1785617478 ISBN-13(EAN): 9781785617478
Издательство: Неизвестно
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Цена: 171660.00 T
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Описание: This book examines various topics and approaches related to the security and privacy in big data and cloud computing, where authors share their expertise in their respective chapters on a broad range of security and privacy challenges and state of the art solutions.

Cloud Computing for Geospatial Big Data Analytics

Автор: Himansu Das; Rabindra K. Barik; Harishchandra Dube
Название: Cloud Computing for Geospatial Big Data Analytics
ISBN: 3030033589 ISBN-13(EAN): 9783030033583
Издательство: Springer
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Цена: 158380.00 T
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Описание: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Big Data, Cloud Computing, Data Science & Engineering

Автор: Roger Lee
Название: Big Data, Cloud Computing, Data Science & Engineering
ISBN: 3319968025 ISBN-13(EAN): 9783319968025
Издательство: Springer
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Цена: 139750.00 T
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Описание: This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users, and students to discuss the various fields of computer science, to share their experiences, and to exchange new ideas and information in a meaningful way. All aspects (theory, applications and tools) of computer and information science, the practical challenges encountered along the way, and the solutions adopted to solve them are all explored here.The conference organizers selected the best papers from among those accepted for presentation. The papers were chosen on the basis of review scores submitted by members of the program committee and subsequently underwent further rigorous review. Following this second round of review, 13 of the conference’s most promising papers were selected for this Springer (SCI) book. We eagerly await the important contributions that we know these authors will make to the field of computer and information science.


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