Continued Rise of the Cloud

Continued Rise of the Cloud

Author: Zaigham Mahmood

Publisher: Springer

Published: 2014-07-07

Total Pages: 415

ISBN-13: 1447164520

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This book captures the state of the art in cloud technologies, infrastructures, and service delivery and deployment models. The work provides guidance and case studies on the development of cloud-based services and infrastructures from an international selection of expert researchers and practitioners. Features: presents a focus on security and access control mechanisms for cloud environments, analyses standards and brokerage services, and investigates the role of certification for cloud adoption; evaluates cloud ERP, suggests a framework for implementing “big data” science, and proposes an approach for cloud interoperability; reviews existing elasticity management solutions, discusses the relationship between cloud management and governance, and describes the development of a cloud service capability assessment model; examines cloud applications in higher education, including the use of knowledge-as-a-service in the provision of education, and cloud-based e-learning for students with disabilities.


Rise of the Data Cloud

Rise of the Data Cloud

Author: Frank Slootman

Publisher: AuthorHouse

Published: 2020-12-18

Total Pages: 200

ISBN-13: 1728373069

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The rise of the Data Cloud is ushering in a new era of computing. The world’s digital data is mass migrating to the cloud, where it can be more effectively integrated, managed, and mobilized. The data cloud eliminates data siloes and enables data sharing with business partners, capitalizing on data network effects. It democratizes data analytics, making the most sophisticated data science tools accessible to organizations of all sizes. Data exchanges enable businesses to discover, explore, and easily purchase or sell data—opening up new revenue streams. Business leaders have long dreamed of data driving their organizations. Now, thanks to the Data Cloud, nothing stands in their way.


Floods

Floods

Author: Michael Allaby

Publisher: Infobase Publishing

Published: 2014-05-14

Total Pages: 209

ISBN-13: 1438108656

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Presents information on these most damaging of all natural disasters from the perspective of basic meteorology and environmental science, including floodplains, aquifers, tsunamis, the cost of floods, and prevention.


Physical Processes in Clouds and Cloud Modeling

Physical Processes in Clouds and Cloud Modeling

Author: Alexander P. Khain

Publisher: Cambridge University Press

Published: 2018-04-30

Total Pages: 644

ISBN-13: 1108646956

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This book presents the most comprehensive and systematic description currently available of both classical and novel theories of cloud processes, providing a much-needed link between cloud theory, observation, experimental results, and cloud modeling. This volume shows why and how modern models serve as a major tool of investigation of cloud processes responsible for atmospheric phenomena, including climate change. It systematically describes classical as well as recent advancements in cloud physics, including cloud-aerosol interaction; collisions of particles in turbulent clouds; and the formation of multiphase cloud particles. As the first of its kind to serve as a practical guide for using state-of-the-art numerical cloud models, major emphasis is placed on explaining how microphysical processes are treated in modern numerical cloud resolving models. The book will be a valuable resource for advanced students, researchers and numerical model designers in cloud physics, atmospheric science, meteorology, and environmental science.


The AMS Weather Book

The AMS Weather Book

Author: Jack Williams

Publisher: Springer Science & Business Media

Published: 2013-04-05

Total Pages: 328

ISBN-13: 1935704559

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America has one of the most varied and dynamic weather systems in the world. Every year, the Gulf Coast is battered by hurricanes, the Great Plains are ravaged by tornados, the Midwest is pummeled by blizzards, and the temperature in the Southwest reaches a sweltering 120 degrees. Extreme weather can be a matter of life and death, but even when it is pleasant—72 degrees and sunny—weather is still central to the lives of all Americans. Indeed, it’s hard to imagine a topic of greater collective interest. Whether we want to know if we should close the storm shutters or just carry an umbrella to work, we turn to forecasts. But few of us really understand the science behind them. All that changes with The AMS Weather Book. The most comprehensive and up-to-date guide to our weather and our atmosphere, it is the ultimate resource for anyone who wants to understand how hurricanes form, why tornados twirl, or even why the sky is cerulean blue. Written by esteemed science journalist and former USA Today weather editor Jack Williams, The AMS Weather Book covers everything from daily weather patterns to air pollution and global warming and explores the stories of people coping with severe weather and those who devote their lives to understanding the atmosphere, oceans, and climate. Words alone, of course, are not adequate to explain many meteorological concepts, so The AMS Weather Book is filled with engaging full-color graphics that explain such concepts as why winds blow in a particular direction, how Doppler weather radar works, what happens inside hurricanes, how clouds create wind and snow, and what’s really affecting the earth’s climate. For Weather Channel junkies, amateur meteorologists, and storm chasers alike, The AMS Weather Book is an invaluable tool for anyone who wants to better understand how weather works and how it affects our lives.


Data Science and Big Data Computing

Data Science and Big Data Computing

Author: Zaigham Mahmood

Publisher: Springer

Published: 2016-07-05

Total Pages: 332

ISBN-13: 3319318616

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This illuminating text/reference surveys the state of the art in data science, and provides practical guidance on big data analytics. Expert perspectives are provided by authoritative researchers and practitioners from around the world, discussing research developments and emerging trends, presenting case studies on helpful frameworks and innovative methodologies, and suggesting best practices for efficient and effective data analytics. Features: reviews a framework for fast data applications, a technique for complex event processing, and agglomerative approaches for the partitioning of networks; introduces a unified approach to data modeling and management, and a distributed computing perspective on interfacing physical and cyber worlds; presents techniques for machine learning for big data, and identifying duplicate records in data repositories; examines enabling technologies and tools for data mining; proposes frameworks for data extraction, and adaptive decision making and social media analysis.