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Algorithmic Aspects of Cloud Computing : 5th International Symposium, ALGOCLOUD 2019, Munich, Germany, September 10, 2019, Revised Selected Papers / edited by Ivona Brandic, Thiago A. L. Genez, Ilia Pietri, Rizos Sakellariou.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Brandic, Ivona., Editor.
Genez, Thiago A. L., Editor.
Pietri, Ilia, Editor.
Sakellariou, Rizos., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12041
Theoretical Computer Science and General Issues, 2512-2029 ; 12041
Language:
English
Subjects (All):
Computer science.
Computer engineering.
Computer networks.
Artificial intelligence.
Software engineering.
Theory of Computation.
Computer Engineering and Networks.
Artificial Intelligence.
Software Engineering.
Local Subjects:
Theory of Computation.
Computer Engineering and Networks.
Artificial Intelligence.
Software Engineering.
Physical Description:
1 online resource (XI, 161 pages) : 67 illustrations, 44 illustrations in color.
Edition:
1st ed. 2020.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2020.
System Details:
text file PDF
Summary:
This book constitutes the refereed post-conference proceedings of the 5th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2019, held in Munich, Germany, in September 2019. The 8 revised full papers were carefully reviewed and selected from 16 submissions. The aim of the symposium is to present research activities and results on topics related to algorithmic, design, and development aspects of modern cloud-based systems.
Contents:
Algorithms for a Smart Construction Environment
Developing a Cloud-based Algorithm for Analyzing the Polarization of Social Media Users
Coordinated Data flow Control in IoT Networks
A Monitoring System for Distributed Edge Infrastructures with Decentralized Coordination
A Container-driven Approach for Resource Provisioning in Edge-Fog Cloud
Self-adaptive Container Deployment in the Fog: A Survey
Security-Aware Database Migration Planning
Scalable and Hierarchical Distributed Data Structures for Efficient Big Data Management.
Other Format:
Printed edition:
ISBN:
978-3-030-58628-7
9783030586287
Access Restriction:
Restricted for use by site license.

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