Artificial Intelligence Based Virtual Machine Allocation and Migration Policy using Improved MBFD-Reference-Cited by-同舟云学术

Artificial Intelligence Based Virtual Machine Allocation and Migration Policy using Improved MBFD

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Current Development in Engineering and Technology (CCET)
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Author:

Singh Gurpreet¹,Rani Lekha¹,Ghosh Pinaki²,Goyal Subhanshu³,Vajpayee Amit⁴

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. School of Advanced Computing, SAGE University,Bhopal,India

3. Marwadi University,Rajkot,India

4. Apex Institute of Technology, Chandigarh University,Mohali,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10079846/10079942/10080691.pdf?arnumber=10080691

Reference14 articles.

1. Minimizing Energy Consumption In Cloud Computing Using Modified Best Fit Decreasing (Mbfd) With Genetic Based Minimization Of Virtual Machine Migration (VMM);singh;Journal of Natural Remedies,2020

2. A green computing supportive allocation scheme utilizing genetic algorithm and support vector machine;singh;Computing,2019

3. Reducing Power Consumption & Delay Aware Resource Allocation in Cloud Data centers;patel;Journal of Information Knowledge and Research in Computer Engineering,2010

4. CNN-RNN based Hybrid Machine Learning Model to Predict the Currency Exchange Rate: USD to INR

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