| Description |
1 online resource (120 pages) : illustrations (black and white) |
| Series |
Lecture notes in computer science ; 13731 |
|
Lecture notes in computer science ; 13731.
|
| Contents |
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 |
| Summary |
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 |
| Notes |
Includes author index |
|
Print version record |
| Subject |
Cloud computing -- Congresses
|
|
Cloud computing
|
| Genre/Form |
proceedings (reports)
|
|
Conference papers and proceedings
|
|
Conference papers and proceedings.
|
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Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Ye, Kejiang, editor
|
|
Zhang, Liang-Jie, editor.
|
|
Services Conference Federation. Conference (2022 : Honolulu, Hawaii)
|
| ISBN |
9783031234989 |
|
3031234987 |
|
