Cloud Computing ¿ CLOUD 2022

15th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10¿14, 2022, Proceedings
Herausgegeben:Ye, Kejiang; Zhang, Liang-Jie

• Broschiertes Buch

Produktbeschreibung

This book constitutes the proceedings of the 15th International Conference on Cloud Computing, CLOUD 2022, held as part of the Services Conference Federation, SCF 2022, held in Honolulu, HI, USA, in December 2022.
The 8 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 15 submissions.
The International Conference on Cloud Computing (CLOUD) has been a prime international forum for both researchers and industry practitioners to exchange the latest fundamental advances in the state of the art and practice of cloud computing, identify emerging research topics, and define the future of cloud computing. All topics regarding cloud computing align with the theme of CLOUD.

Produktdetails

• Lecture Notes in Computer Science 13731
• Verlag: Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-23497-2
• 1st ed. 2022
• Seitenzahl: 136
• Erscheinungstermin: 14. Dezember 2022
• Englisch
• Abmessung: 235mm x 155mm x 8mm
• Gewicht: 219g
• ISBN-13: 9783031234972
• ISBN-10: 3031234979
• Artikelnr.: 66393647

Inhaltsangabe

Performance Evaluation of Modified Best First Decreasing Algorithms for Dynamic Virtual Machine Placement in Cloud Computing.- Towards an Efficient Client Selection for Federated Learning.- Hestia: A cost-effective multi-dimensional resource utilization for microservices execution in the cloud.- Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM.- Improving Few-Shot Image Classification with Self-Supervised Learning.- New Commonsense Views Inspired by Infants and Its Implications for Artificial Intelligence.- Data Micro-governance in Full Lifecycle Management of The Leased Assets.- How to build an effective/efficient data team.- A Novel Unsupervised Anomaly Detection Approach using Neural Transformation in Cloud Environment.