Cloud computing for science and engineering
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Cloud computing for science and engineering by Foster, Ian

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Published .
Written in English

Subjects:

  • Science,
  • Cloud computing,
  • Engineering,
  • Data processing

Book details:

Edition Notes

Includes bibliographical references and index.

StatementIan Foster and Dennis B. Gannon
SeriesScientific and Engineering Computation, Scientific and engineering computation
ContributionsGannon, Dennis B., 1947- author
Classifications
LC ClassificationsQA76.585 .F67 2017
The Physical Object
Paginationxvi, 372 pages
Number of Pages372
ID Numbers
Open LibraryOL26939995M
ISBN 100262037246
ISBN 109780262037242
LC Control Number2017016889
OCLC/WorldCa981167298

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  The book we review here, Cloud Computing for Science and Engineering (Scientific and Engineering Computation), is the evolution from Grid to Cloud with plenty of practical advice for science and engineering. Ian Foster and Dennis Gannon are the authors. This book is unlike other titles on cloud computing/5(7). Draft as of 3/27/ Table of Contents Acknowledgments Preface 1 Orienting in the cloud universe Part I. Managing data in the cloud 2 Storage as a service 3 Using cloud storage services 3s: Distributed Databases: CosmosDB Part II. Computing in the cloud 4 Computing as a service 5 Using and managing virtual machines 6 Using. Cloud Computing has grown popular as a new prototype for providing services over the Internet. This introductory textbook on Cloud Computing is suitable for undergraduate students of computer science engineering, and for postgraduate students of computer science and computer applications. It teaches both the basic concepts and cloud technologies by adopting a straightforward approach of 5/5(1). Cloud computing is a platform where users can modify application according to their own choice. Mobile Access. Cloud computing enables access to high-powered computing and store resources for anyone with a mobile phone. The capabilities of cloud computing helps facilitate telenetwork initiatives as well as bolster an agency's continuity.

This book offers recent research in Computational Science & Computational Intelligence and presents scientific results of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD ) which was held on July 10–12, in Kanazawa. This edited book presents the scientific outcomes of the 4th IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD ) which was held on May 29–31, in Honolulu, Hawaii. The aim of the conference was to bring together researchers and scientists, businessmen and entrepreneurs, teachers. This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD ), which was held on July 10–12, in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and entrepreneurs, teachers, engineers, computer users. Cloud computing is the on-demand availability of computer system resources, especially data storage (cloud storage) and computing power, without direct active management by the term is generally used to describe data centers available to many users over the clouds, predominant today, often have functions distributed over multiple locations from central servers.

This book comprises select papers from the international conference on Research in Intelligent and Computing in Engineering (RICE ) held at Hanoi University of Industry, Hanoi, Vietnam. The volume focuses on current research on various computing models such as centralized, distributed, cluster, grid and cloud. Buy DECODE Cloud Computing For SPPU 15 Course (BE - II - Comp. - C) by I. A. Dhotre PDF Online. ISBN from Technical Publications. Download Free Sample and Get Upto 24% OFF on MRP/Rental. This book provides the users with quick and easy data acquisition, processing, storage and product generation services. It describes the entire life cycle of remote sensing data and builds an entire high performance remote sensing data processing system framework. It also develops a series of remote sensing data management and processing standards. Features: Covers remote sensing cloud. Intro to Python for Computer Science and Data Science: Learning to Program with AI, Big Data and The Cloud Learn to work in the cloud (Computers Made Easy Book 7) James Bernstein. out of 5 stars Kindle Edition. Cloud Computing Agreements, Software Licenses, and Other IT Contracts for Lawyers and Businesspeople.