Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation - Couverture rigide

Livre 39 sur 39: Computer Communications and Networks
 
9783030388355: Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation
Couverture rigide
ISBN 10 : 3030388352 ISBN 13 : 9783030388355
Editeur : Springer Nature Switzerland AG, 2021

Synopsis

This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation.

The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge.

The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are neededfor real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.


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À propos de l?auteur

Dr. Florin Pop is a Professor at the Department of Computer Science and Engineering at the University Politehnica of Bucharest, Romania and a Senior Researcher (1st Degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.

Dr. Gabriel Neagu is a Senior Researcher (1st Degree) at the Department of Intelligent and Distributed Data Intensive Systems at the National Institute for Research and Development in Informatics, Bucharest, Romania.


Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
Springer Nature Switzerland AG
Date d'édition
2021
Langue
anglais
ISBN 10 
3030388352
ISBN 13 
9783030388355
Reliure
Relié
Nombre de pages
307
Éditeur
Pop Florin, Neagu Gabriel
Coordonnées du fabricant
ProductSafety@springernature.com
ProductSafety@springernature.com

Poststr. 9
Darmstadt
64293
Allemagne

Autres éditions populaires du même titre

9783030388386: Big Data Platforms and Applications: Case Studies, Methods, Techniques, and Performance Evaluation

Edition présentée

ISBN 10 :  3030388387 ISBN 13 :  9783030388386
Editeur : Springer, 2022
Couverture souple