使无效 发表于 2025-3-25 12:54:38

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性满足 发表于 2025-3-25 19:25:35

2190-3018 rce reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems..978-981-15-6204-4978-981-15-6202-0Series ISSN 2190-3018 Series E-ISSN 2190-3026

meditation 发表于 2025-3-25 22:46:35

2190-3018 dhan (Deemed to be University), Bhubaneswar, India, on DecemThis book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2019), held at Siksha ‘O‘ Anusandhan (Deemed to be University), Bhubaneswar, India, on Decem

CRACY 发表于 2025-3-26 02:30:08

Conference proceedings 2021dels, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems..

magnanimity 发表于 2025-3-26 04:46:23

A Systematic Overview of Fault Tolerance in Cloud Computinged to make cloud services fault tolerant. In this paper, we have comprehensively outlined the issues and challenges related to fault tolerance of cloud computing environment along with an elaboration of different fault tolerance provisioning techniques.

新娘 发表于 2025-3-26 09:22:44

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改正 发表于 2025-3-26 12:43:13

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Mets552 发表于 2025-3-26 19:42:55

Internet of Things (IoT) Framework Deployment Template for Cloud-Based Harbor Surveillance and Ferrytaff as availed cloud services. This paper presents a deployment template of a cloud-based IoT framework for harbor surveillance and ferry monitoring system. Here, the functional metrics such as average service time is determined with the help of stochastic queuing system.

外貌 发表于 2025-3-26 22:32:26

Prediction of Exchange Rate in a Cloud Computing Environment Using Machine Learning Toolsin this paper. It has also been observed that the performance of the machine learning tools provided by Microsoft Azure are very much competitive with respect to the traditional machine learning approach.

使迷醉 发表于 2025-3-27 03:14:09

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查看完整版本: Titlebook: Intelligent and Cloud Computing; Proceedings of ICICC Debahuti Mishra,Rajkumar Buyya,Srikanta Patnaik Conference proceedings 2021 Springer