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ICWE 2021 Workshops : ICWE 2021 International Workshops, BECS and Invited Papers, Biarritz, France, May 18-21, 2021, Revised Selected Papers / edited by Maxim Bakaev, In-Young Ko, Michael Mrissa, Cesare Pautasso, Abhishek Srivastava.

SpringerLink Books Computer Science (2011-2024) Available online

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Format:
Book
Contributor:
Bakaev, Maxim, Editor.
Ko, In-Young, Editor.
Mrissa, Michael., Editor.
Pautasso, Cesare, Editor.
Śrīvāstava, Abhisheka, Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Communications in computer and information science 1865-0937 ; 1508
Communications in Computer and Information Science, 1865-0937 ; 1508
Language:
English
Subjects (All):
Application software.
Artificial intelligence.
Computer networks.
Education-Data processing.
Computer and Information Systems Applications.
Artificial Intelligence.
Computer Communication Networks.
Computers and Education.
Local Subjects:
Computer and Information Systems Applications.
Artificial Intelligence.
Computer Communication Networks.
Computers and Education.
Physical Description:
1 online resource (XI, 99 pages) : 32 illustrations, 30 illustrations in color.
Edition:
1st ed. 2022.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2022.
System Details:
text file PDF
Summary:
This book constitutes the thoroughly refereed post-workshop proceedings of the 21th International Conference on Web Engineering, ICWE 2021, held in Biarritz, France, in May 2021.* The first international workshop on Big data-driven Edge Cloud Services (BECS 2021) was held to provide a venue in which scholars and practitioners can share their experiences and present on-going work on providing value-added Web services for users by utilizing big data in edge cloud environments. The 5 revised full papers and 1 revised short contribution selected from 11 submissions are presented with 2 invited papers. *The conference was held virtually due to the COVID-19 pandemic.
Contents:
BECS 2021
Putting Data Science Pipelines on the Edge
DNN Model Deployment on Distributed Edges
Towards Proactive Context-Aware IoT Environments by means of Federated Learning
Real-time Deep Learning-based Anomaly Detection Approach for Multivariate Data Streams with Apache Flink
A Novel Approach to Dynamic Pricing for Cloud Computing Through Price Band Prediction
Learning-based Activation of Energy Harvesting Sensors for Fresh Data Acquisition
Invited Papers
Exploiting Triangle Patterns for Heterogeneous Graph Attention Network
Towards Seamless IoT Device-Edge-Cloud Continuum: Software Architecture Options of IoT Devices Revisited.
Other Format:
Printed edition:
ISBN:
978-3-030-92231-3
9783030922313
Access Restriction:
Restricted for use by site license.

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