mlsanityData to 14 Oct 2026

A smart resource management mechanism with trust access control for cloud computing environment

arXiv 2212.05319 ↗First posted 10 Dec 2022cs.DC cs.AIcited by 0

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Abstract (arXiv)

The core of the computer business now offers subscription-based on-demand services with the help of cloud computing. We may now share resources among multiple users by using virtualization, which creates a virtual instance of a computer system running in an abstracted hardware layer. It provides infinite computing capabilities through its massive cloud datacenters, in contrast to early distributed computing models, and has been incredibly popular in recent years because to its continually growing infrastructure, user base, and hosted data volume. This article suggests a conceptual framework for a workload management paradigm in cloud settings that is both safe and performance-efficient. A resource management unit is used in this paradigm for energy and performing virtual machine allocation with efficiency, assuring the safe execution of users' applications, and protecting against data breaches brought on by unauthorised virtual machine access real-time. A secure virtual machine management unit controls the resource management unit and is created to produce data on unlawful access or intercommunication. Additionally, a workload analyzer unit works simultaneously to estimate resource consumption data to help the resource management unit be more effective during virtual machine allocation. The suggested model functions differently to effectively serve the same objective, including data encryption and decryption prior to transfer, usage of trust access mechanism to prevent unauthorised access to virtual machines, which creates extra computational cost overhead.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 19 of its 107 references that are in the map. First posted on arXiv 10 Dec 2022.

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19 of 107 references.

References · 19

  1. 2021Credit Card Fraud Detection using Machine Learning: A Studycited by 6
  2. 2022A Quantum Approach Towards the Adaptive Prediction of Cloud Workloadscited by 6
  3. 2022A Holistic View on Data Protection for Sharing, Communicating, and Computing Environments: Taxonomy and Future Directionscited by 5
  4. 2022HiSA-SMFM: Historical and Sentiment Analysis based Stock Market Forecasting Modelcited by 5
  5. 2021workload forecasting and resource management models based on machine learning for cloud computing environmentscited by 4
  6. 2022TIDF-DLPM: Term and Inverse Document Frequency based Data Leakage Prevention Modelcited by 4
  7. 2022A High Availability Management Model based on VM Significance Ranking and Resource Estimation for Cloud Applicationscited by 4
  8. 2022Security and Privacy-Preservation of IoT Data in Cloud-Fog Computing Environmentcited by 3
  9. 2022A proactive autoscaling and energy-efficient VM allocation framework using online multi-resource neural network for cloud data centercited by 3
  10. 2021A study on Machine Learning Approaches for Player Performance and Match Results Predictioncited by 2
  11. 2021A Survey and Comparative Study on Multi-Cloud Architectures: Emerging Issues And Challenges For Cloud Federationcited by 2
  12. 2021A Discussion and Comparative Study on Security and Privacy of Smart Meter Datacited by 2
7 more
  1. 2022MLRM: A Multiple Linear Regression based Model for Average Temperature Prediction of A Daycited by 2
  2. 2022A Comprehensive Vision on Cloud Computing Environment: Emerging Challenges and Future Research Directionscited by 2
  3. 2022Efficient Resource Management in Cloud Environmentcited by 2
  4. 2022A Fault Tolerant Elastic Resource Management Framework Towards High Availability of Cloud Servicescited by 2
  5. 2021Testable Designs of Toffoli Fredkin Reversible Circuitscited by 1
  6. 2022PCA-RF: An Efficient Parkinson's Disease Prediction Model based on Random Forest Classificationcited by 1
  7. 2022Dynamic Resource Allocation Method for Load Balance Scheduling over Cloud Data Center Networkscited by 1

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