Cloud Computing and Services Science
9th International Conference, CLOSER 2019, Heraklion, Crete, Greece, May 2-4, 2019, Revised Selected Papers
Published on 3. June 2020
XI, 247 pages
978-3-030-49432-2 (ISBN)
Description
This book constitutes extended, revised and selected papers from the 9
th
International Conference on Cloud Computing and Services Science, CLOSER 2019, held in Heraklion, Greece, in May 2019.The 11 papers presented in this volume were carefully reviewed and selected from a total of 102 submissions. CLOSER 2019 focuses on the emerging area of Cloud Computing, inspired by some latest advances that concern the infrastructure, operations, and available servicesthrough the global network.
More details
Series
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Target group
Professional and scholarly
Product notice
Reflowable
Illustrations
XI, 247 p. 129 illus., 69 illus. in color.
File size
27,96 MB
ISBN-13
978-3-030-49432-2 (9783030494322)
DOI
10.1007/978-3-030-49432-2
Schweitzer Classification
Other editions
Additional editions
Donald Ferguson | Víctor Méndez Muñoz | Claus Pahl
Cloud Computing and Services Science
9th International Conference, CLOSER 2019, Heraklion, Crete, Greece, May 2-4, 2019, Revised Selected Papers
Book
06/2020
Springer
€53.49
Shipment within 7-9 days
Content
Human-computer Systems for Decision Support: From Cloud to Self-organizing Environments.- Designing an IoT-Cloud Gateway for the Internet of Living Things.- Development and Operation of Elastic Parallel Tree Search Applications using TASKWORK.- Rule-based Security Monitoring of Containerized Environments.- A Feasibility Study of an Agile and Data-centric Method for Prototyping Services based on Open Transport Data.- True Service-oriented Metamodeling Architecture.- A Decomposition and Metric-based Evaluation Framework for Microservices.- A Containerized Edge Cloud Architecture for Data Stream Processing.- Data Flows Mapping in Fog Computing Infrastructures using Evolutionary Inspired Heuristic.- MPI To Go: Container Clusters for MPI Applications.- Evolving Adaptation Rules at Runtime for Multi-cloud Applications.
