324
Views
16
CrossRef citations to date
0
Altmetric
Articles

Auto-adaptive learning-based workload forecasting in dynamic cloud environment

ORCID Icon & ORCID Icon
Pages 541-551 | Received 07 Jun 2019, Accepted 21 Sep 2020, Published online: 12 Oct 2020

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (1)

Ashutosh Kumar Singh & Deepika Saxena. (2022) A Cryptography and Machine Learning Based Authentication for Secure Data-Sharing in Federated Cloud Services Environment. Journal of Applied Security Research 17:3, pages 385-412.
Read now

Articles from other publishers (15)

G. Saravanan & A. V. Santhosh Babu. (2023) Workload prediction for enhancing power efficiency of cloud data centers using optimized self‐attention‐based progressive generative adversarial network. International Journal of Communication Systems 37:1.
Crossref
Mohammad Yekta & Hadi Shahriar Shahhoseini. (2023) A Review on Machine Learning Methods for Workload Prediction in Cloud Computing. A Review on Machine Learning Methods for Workload Prediction in Cloud Computing.
Deepika Saxena, Jitendra Kumar, Ashutosh Kumar Singh & Stefan Schmid. (2023) Performance Analysis of Machine Learning Centered Workload Prediction Models for Cloud. IEEE Transactions on Parallel and Distributed Systems 34:4, pages 1313-1330.
Crossref
Liang Bao, Jin Yang, Zhengtong Zhang, Wenjing Liu, Junhao Chen & Chase Wu. (2022) On accurate prediction of cloud workloads with adaptive pattern mining. The Journal of Supercomputing 79:1, pages 160-187.
Crossref
Archana Yadav, Shivam Kushwaha, Jyoti Gupta, Deepika Saxena & Ashutosh Kumar Singh. 2023. Advances and Applications of Artificial Intelligence & Machine Learning. Advances and Applications of Artificial Intelligence & Machine Learning 139 148 .
Haiyan Peng & Min Zhang. (2022) Application of Deep Neural Network Algorithm in Speech Enhancement of Online English Learning Platform. ICST Transactions on Scalable Information Systems, pages e13.
Crossref
Deepika Saxena, Ishu Gupta, Jitendra Kumar, Ashutosh Kumar Singh & Xiaoqing Wen. (2022) A Secure and Multiobjective Virtual Machine Placement Framework for Cloud Data Center. IEEE Systems Journal 16:2, pages 3163-3174.
Crossref
Divyanshu Varshney, Burhanuddin Babukhanwala, Javed Khan, Deepika Saxena & Ashutosh Kumar Singh. (2022) Plant Disease Detection Using Machine Learning Techniques. Plant Disease Detection Using Machine Learning Techniques.
Deepika Saxena & Ashutosh Kumar Singh. (2022) OFP-TM: an online VM failure prediction and tolerance model towards high availability of cloud computing environments. The Journal of Supercomputing 78:6, pages 8003-8024.
Crossref
Deepika Saxena & Ashutosh Kumar Singh. (2022) VM Failure Prediction based Intelligent Resource Management Model for Cloud Environments. VM Failure Prediction based Intelligent Resource Management Model for Cloud Environments.
Archana Yadav, Shivam Kushwaha, Jyoti Gupta, Deepika Saxena & Ashutosh Kumar Singh. 2022. Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication. Proceedings of 3rd International Conference on Machine Learning, Advances in Computing, Renewable Energy and Communication 539 547 .
Ashutosh Kumar Singh, Deepika Saxena, Jitendra Kumar & Vrinda Gupta. (2021) A Quantum Approach Towards the Adaptive Prediction of Cloud Workloads. IEEE Transactions on Parallel and Distributed Systems 32:12, pages 2893-2905.
Crossref
Ramkrishna Patel, Vikas Choudhary, Deepika Saxena & Ashutosh Kumar Singh. (2021) REVIEW OF STOCK PREDICTION USING MACHINE LEARNING TECHNIQUES. REVIEW OF STOCK PREDICTION USING MACHINE LEARNING TECHNIQUES.
Divyanshu Varshney, Burhanuddin Babukhanwala, Javed Khan, Deepika Saxena & Ashutosh kumar Singh. (2021) Machine Learning Techniques for Plant Disease Detection. Machine Learning Techniques for Plant Disease Detection.
Murari Choudhary, Shashank Jha, Prashant, Deepika Saxena & Ashutosh Kumar Singh. (2021) A Review of Fake News Detection Methods using Machine Learning. A Review of Fake News Detection Methods using Machine Learning.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.