Cantitate/Preț
Produs

Data Management in Cloud, Grid and P2P Systems: Lecture Notes in Computer Science, cartea 8648

Editat de Abdelkader Hameurlain, Tran Khanh Dang, Franck Morvan
en Limba Engleză Paperback – 4 aug 2014
This book constitutes the refereed proceedings of the 7th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 7 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers are organized in the following topical sections: query processing in cloud, grid, and P2P systems: optimization and recommendation; MapReduce framework: data privacy and similarity search; data management in grid systems: protocol and recovery failure.
Citește tot Restrânge

Din seria Lecture Notes in Computer Science

Preț: 25685 lei

Preț vechi: 32107 lei
-20%

Puncte Express: 385

Carte tipărită la comandă

Livrare economică 07-21 iulie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit de la 40000 lei Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9783319100661
ISBN-10: 3319100661
Pagini: 96
Ilustrații: X, 85 p. 42 illus.
Dimensiuni: 155 x 235 x 6 mm
Greutate: 0.16 kg
Ediția:2014
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Public țintă

Research

Textul de pe ultima copertă

This book constitutes the refereed proceedings of the 7th International Conference on Data Management in Grid and Peer-to-Peer Systems, Globe 2014, held in Munich, Germany, in September 2014, in conjunction with DEXA 2014. The 7 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers are organized in the following topical sections: query processing in cloud, grid, and P2P systems: optimization and recommendation; MapReduce framework: data privacy and similarity search; data management in grid systems: protocol and recovery failure.