Cloud Computing for Data-Intensive Applications (Hardcover)

Xiaolin Li

ISBN 10: 1493919040 / ISBN 13: 9781493919048

Published by Springer-Verlag New York Inc., New York, 2014

About this Item

Hardcover. This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies.Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference. 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Seller Inventory # 9781493919048

Bibliographic Details

• Title: Cloud Computing for Data-Intensive Applications (Hardcover)
• Publisher: Springer-Verlag New York Inc., New York
• Publication Date: 2014
• Language: English
• ISBN 10: 1493919040
• ISBN 13: 9781493919048
• Binding: Hardcover
• Condition: new

About this title

Synopsis

This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for eScience applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies. Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference.