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TORUS 2 – Toward an Open Resource Using Services: Cloud Computing for Environmental Data, Dominique Laffly


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Автор: Dominique Laffly
Название:  TORUS 2 – Toward an Open Resource Using Services: Cloud Computing for Environmental Data
ISBN: 9781786306005
Издательство: Wiley
Классификация:
ISBN-10: 178630600X
Обложка/Формат: Hardcover
Страницы: 318
Вес: 0.67 кг.
Дата издания: 30.06.2020
Серия: Engineering
Язык: English
Размер: 245 x 159 x 22
Читательская аудитория: Professional & vocational
Ключевые слова: Electronics & communications engineering
Подзаголовок: Cloud computing for environmental data
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: This book, presented in three volumes, examines environmental disciplines in relation to major players in contemporary science: Big Data, artificial intelligence and cloud computing. Today, there is a real sense of urgency regarding the evolution of computer technology, the ever-increasing volume of data, threats to our climate and the sustainable development of our planet. As such, we need to reduce technology just as much as we need to bridge the global socio-economic gap between the North and South; between universal free access to data (open data) and free software (open source). In this book, we pay particular attention to certain environmental subjects, in order to enrich our understanding of cloud computing. These subjects are: erosion; urban air pollution and atmospheric pollution in Southeast Asia; melting permafrost (causing the accelerated release of soil organic carbon in the atmosphere); alert systems of environmental hazards (such as forest fires, prospective modeling of socio-spatial practices and land use); and web fountains of geographical data. Finally, this book asks the question: in order to find a pattern in the data, how do we move from a traditional computing model-based world to pure mathematical research? After thorough examination of this topic, we conclude that this goal is both transdisciplinary and achievable.


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

Автор: Mavromoustakis Constandinos X., Mastorakis George, Dobre Ciprian
Название: Advances in Mobile Cloud Computing and Big Data in the 5g Era
ISBN: 3319832220 ISBN-13(EAN): 9783319832227
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Introduction and Applications of MCC and Big Data Paradigm in 5G Access.- Architectures of MCC and Big Data Paradigm.- MCC and Big Data Paradigm in Smart Ambient Systems.- MCC and Big Data Control and Data Management.

Virtualized Cloud Data Center Networks: Issues in Resource Management.

Автор: Linjiun Tsai; Wanjiun Liao
Название: Virtualized Cloud Data Center Networks: Issues in Resource Management.
ISBN: 3319326309 ISBN-13(EAN): 9783319326306
Издательство: Springer
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Цена: 8489.00 р.
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Описание: Introduction.- Allocation of Virtual Machines.- Transformation of Data Center Networks.- Allocation of Servers.- Performance Evaluation.- Conclusion.

Resource Management in Utility and Cloud Computing

Автор: Han Zhao; Xiaolin Li
Название: Resource Management in Utility and Cloud Computing
ISBN: 1461489695 ISBN-13(EAN): 9781461489696
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This SpringerBrief reviews the existing market-oriented strategies for economically managing resource allocation in distributed systems. The second scheme targets a free-trade resource market, studying the interactions amongst multiple rational resource traders.

Strategic Engineering for Cloud Computing and Big Data Analytics

Автор: Hosseinian-Far Amin, Ramachandran Muthu, Sarwar Dilshad
Название: Strategic Engineering for Cloud Computing and Big Data Analytics
ISBN: 3319849158 ISBN-13(EAN): 9783319849157
Издательство: Springer
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Цена: 15372.00 р.
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Описание: This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems.

Strategic engineering for cloud computing and big data analytics

Название: Strategic engineering for cloud computing and big data analytics
ISBN: 3319524909 ISBN-13(EAN): 9783319524900
Издательство: Springer
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Цена: 20962.00 р.
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Описание: This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems.

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: 20962.00 р.
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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.

Security and Data Storage Aspect in Cloud Computing

Автор: Prachi S. Deshpande; Subhash C. Sharma; Sateesh K.
Название: Security and Data Storage Aspect in Cloud Computing
ISBN: 981136088X ISBN-13(EAN): 9789811360886
Издательство: Springer
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Цена: 13974.00 р.
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Описание: This book analyses the various security threats in cloud computing. A host-based IDS (HIDS) using signature verification is developed and implemented for the concerned security issues. Further, owing to the vulnerability of distributed denial of service (DDoS) attacks in cloud computing, a network based IDS (NIDS) is developed and implemented against such attacks. The performance of these IDS is verified in the Cloud scenario as well against the standard data set. Finally, a simple data storage and security model is developed and implemented for the Cloud computing scenario. The contents of this book will be of interest to researchers and professionals alike.


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