Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330330066 ISBN 13: 9783330330061
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 76 pages. 8.66x5.91x0.18 inches. In Stock.
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10: 3330330066 ISBN 13: 9783330330061
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Numerous technologies and models have been proposed for bringing big data services to the cloud environment. However, the choice of these technologies is always application specific and determining fitness of a solution is a perplexing task which makes it necessary for the architects and designers to review the requirements and choose a solution currently available in the market. This book focuses on study of service model for Big data services in the Cloud and their classification based on the three models of Cloud (i.e. IaaS, PaaS, & SaaS). Challenges brought by these models have been combined and categorized on who takes care of the challenges. This text presents 'Big Data Service Model for the Cloud', 'Storage Space Estimation for Servicing Nodes', and 'Replica Server Placement on Multiple Data Center' for big data applications 76 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330330066 ISBN 13: 9783330330061
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Swami DevangDevang Swami had completed his masters in Computer Science & Engineering from NIT Rourkela and holds a bachelors degree in Information Technology. His field of interest includes Distributed Systems, Database Systems, Op.
Language: English
Published by LAP LAMBERT Academic Publishing Jul 2017, 2017
ISBN 10: 3330330066 ISBN 13: 9783330330061
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Numerous technologies and models have been proposed for bringing big data services to the cloud environment. However, the choice of these technologies is always application specific and determining fitness of a solution is a perplexing task which makes it necessary for the architects and designers to review the requirements and choose a solution currently available in the market. This book focuses on study of service model for Big data services in the Cloud and their classification based on the three models of Cloud (i.e. IaaS, PaaS, & SaaS). Challenges brought by these models have been combined and categorized on who takes care of the challenges. This text presents 'Big Data Service Model for the Cloud', 'Storage Space Estimation for Servicing Nodes', and 'Replica Server Placement on Multiple Data Center' for big data applicationsVDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch.
Language: English
Published by LAP LAMBERT Academic Publishing, 2017
ISBN 10: 3330330066 ISBN 13: 9783330330061
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Numerous technologies and models have been proposed for bringing big data services to the cloud environment. However, the choice of these technologies is always application specific and determining fitness of a solution is a perplexing task which makes it necessary for the architects and designers to review the requirements and choose a solution currently available in the market. This book focuses on study of service model for Big data services in the Cloud and their classification based on the three models of Cloud (i.e. IaaS, PaaS, & SaaS). Challenges brought by these models have been combined and categorized on who takes care of the challenges. This text presents 'Big Data Service Model for the Cloud', 'Storage Space Estimation for Servicing Nodes', and 'Replica Server Placement on Multiple Data Center' for big data applications.