Economics of grids, clouds, systems, and services : 15th International Conference, GECON 2018, Pisa, Italy, September 18-20, 2018, Proceedings /

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Bibliographic Details
Meeting name:GECON (Conference) (15th : 2018 : Pisa, Italy)
Imprint:Cham, Switzerland : Springer, 2019.
Description:1 online resource (xv, 253 pages) : illustrations (some color)
Language:English
Series:Lecture notes in computer science ; 11113
LNCS sublibrary. SL 5, Computer communication networks and telecommunications
Lecture notes in computer science ; 11113.
LNCS sublibrary. SL 5, Computer communication networks and telecommunications.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11851801
Hidden Bibliographic Details
Varying Form of Title:GECON 2018
Other authors / contributors:Coppola, Massimo, 1969- editor.
Carlini, Emanuele, editor.
D'Agostino, Daniele, editor.
Altmann, Jörn (Computer scientist), editor.
Bañares, José Ángel, editor.
ISBN:9783030133429
3030133427
9783030133436
3030133435
3030133419
9783030133412
9783030133412
Digital file characteristics:text file PDF
Notes:International conference proceedings.
Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed March 11, 2019).
Summary:This book constitutes the refereed proceedings of the 15th International Conference on Economics of Grids, Clouds, Systems, and Services, GECON 2018, held in Pisa, Italy, in September 2018. The 21 full papers and 9 short papers presented together with 1 invited talk were carefully reviewed and selected from 40 submissions. This GECON 2018 proceedings was structured in three special sessions on selected topics, namely: IT service ecosystems enabled through emerging digital technologies; machine learning, cognitive systems and data science for system management; and blockchain technologies and economics.
Other form:Printed edition: 9783030133412
Printed edition: 9783030133436
Standard no.:10.1007/978-3-030-13342-9
Table of Contents:
  • IT service ecosystems enabled through emerging digital technologies
  • Machine learning, cognitive systems and data science for system management
  • Blockchain technologies and economics.