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检索条件"主题词=Cloud Algorithms"

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AI Based cloud Failure Detection and Prevention Algorithm

AI Based Cloud Failure Detection and Prevention Algorithm

引用

2023 Innovations in Power and Advanced Computing Technologies, i-PACT 2023

作者： Moni, Md Moynul Ashik Niloy, Maharshi Fahmid-Ul-Alam Juboraj, Md Banik, Arnob Department of Computer Science and Engineering BRAC University Dhaka Bangladesh School of Computer Science and Engineering VIT University Tamil Nadu Vellore India

ISBN: (纸本)9798350325188

It is crucial to anticipate and avoid cloud breakdowns to guarantee the availability and dependability of cloud services. Machine learning algorithms have shown promise in forecasting and preventing cloud failures by analyzing large datasets of cloud usage traces to identify potential failure points. This paper presents an algorithm incorporating different Machine Learning and Deep Learning models for cloud failure prediction and prevention based on analyzing the Google cluster usage traces dataset. The proposed algorithm, the AI-based cloud Failure Prevention Algorithm (ACFP), utilizes various features to predict potential failure points. The proposed algorithm used various AI models, the prominent ones are Cat Boost (accuracy, F1 score, Precision, Specificity: 100%), LGB (accuracy, F1 score, Precision, Specificity: 100%), Gradient Boost (accuracy, F1 score, Precision, Specificity: 100%), Random Forest (accuracy, F1 score, Precision, Specificity: 100%), etc. for the precise detection of cloud task *** that the ACFP selects one ML/DL model with best failure prediction efficiency and use some parameters like:"resource_utilization","event_type", and"scheduler" to generate some suggestion based values for the cloud so that the cloud implements that suggestion to prevent cloud failure. The experimental results show how well the algorithm predicts and averts cloud breakdowns, highlighting its potential to raise the reliability and availability of cloud services. The comparison of the failure rate of the cloud by predicting job failures with and without the ACFP is 2.67% and 22.76%, respectively. This algorithm can raise the quality of cloud services and reduce the risks of cloud failures. © 2023 IEEE.

关键词： Artificial intelligence cloud algorithms cloud computing Failure prediction Machine learning

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An Effective Algorithmic Approach for Cost Optimization in cloud Based Data Center

An Effective Algorithmic Approach for Cost Optimization in C...

引用

International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT)

作者： Goyal, Vikas Kant, Chander Kurukshetra Univ Deptt Comp Sc & Appl Kurukshetra 132119 Haryana India

ISBN: (纸本)9781479928996

cloud computing is offering efficacy oriented IT services to users throughout the world. It enables the hosting of assorted applications from user, scientific, commercial as well as business domains. The core inspiration following cloud Computing is that the entire system can be controlled as well as worked using simply an HTTP client. The cloud user is required to have only a web based client to make exertions with cloud Systems and all its applications, including office apps, business modules or personal information systems. It is applied to both modern and obsolete systems. An Open Source Platform designed to hold a wide assortment of Web Applications. cloud Operating Systems was thought of its new definition that everything inside it can be accessed & acquired from everywhere inside a Network. All the user is required to do is login into cloud Operating Application server with a normal web client, and access to the desktop, with your documents, applications, movies, music and all etc. cloud Operating Systems lets you upload your files and work with them regardless of your location. It contains almost all applications such as Word Processor, PDF reader, Address Book and many more developed by the cloud developers and cloud vendors. cloud Storage provides the web based users with storage space and make user friendly and timely acquire and store data, which is mainly the foundation of each type of cloud applications. However, there is requirement of deep analysis on how to optimize cloud storage aiming at improvement of data accessing and data storing performance. In this paper, we have proposed the mathematical description as well as the algorithmic approach for cloud storage optimization and as an objective optimization problem which is solved by our proposed optimized algorithm;as a result the data is distributed in appropriate nodes with the best efficiency. The simulation or investigational results demonstrate the performance of the algorithms analogous to Map

关键词： cloud Based Distribution cloud algorithms cloud Computing cloud Storage Optimization

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