Web Services ¿ ICWS 2022

29th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10¿14, 2022, Proceedings
Herausgegeben:Zhang, Yuchao; Zhang, Liang-Jie

• Broschiertes Buch

Produktbeschreibung

This book constitutes the proceedings of the 29th International Conference on Web Services, ICWS 2022, held in Honolulu, USA, as part of SCF 2022, during December 10-14, 2022.

The 9 full papers presented in this volume were carefully reviewed and selected from 20 submissions. The papers cover aspects of services computing and applications. Centered around services computing, it covers various systems and networking research pertaining to cloud, edge and Internet-of-Things (IoT), as well as technologies for intelligent computing, learning, big data and blockchain applications.

Produktdetails

• Lecture Notes in Computer Science 13736
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-23578-8
• 1st ed. 2022
• Seitenzahl: 148
• Erscheinungstermin: 22. Dezember 2022
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 236g
• ISBN-13: 9783031235788
• ISBN-10: 3031235789
• Artikelnr.: 66421143

Inhaltsangabe

FRSM: A Novel Fault-Tolerant Approach for Redundant-Path-Enabled Service Migration in Mobile Edge Computing.- FRSM: A Novel Fault-Tolerant Approach for Redundant-Path-Enabled Service Migration in Mobile Edge Computing.- Towards An Improved Bi-GAN-Based End-to-End One-Class Classifier For Anomaly Detection In Cloud Data-Centers.- A Novel Approach For User Demand-aware Data Center Construction And Service Consolidation.- TSFed: A Two-Stage Federated Learning Framework via Cloud-Edge Collaboration for Services QoS Prediction.- Sequential recommendation based on pairs of interest and graph structure.- Electronic voting scheme based on blockchain and SM2 zero-knowledge proof.- Web 3.0: Developments and Directions of the Future Internet Architecture?.- A Hybrid Recommendation Model for Social Network Services Using Twitter Data.