Towards Virtual Machine Energy-Aware Cost Prediction in Clouds

@inproceedings{Aldossary2017TowardsVM,
  title={Towards Virtual Machine Energy-Aware Cost Prediction in Clouds},
  author={Mohammad Aldossary and Ibrahim Alzamil and Karim Djemame},
  booktitle={GECON},
  year={2017}
}
Pricing mechanisms employed by different service providers significantly influence the role of cloud computing within the IT industry. With the increasing cost of electricity, Cloud providers consider power consumption as one of the major cost factors to be maintained within their infrastructures. Consequently, modelling a new pricing mechanism that allow Cloud providers to determine the potential cost of resource usage and power consumption has attracted the attention of many researchers… 

Energy-based Cost Model of Virtual Machines in a Cloud Environment

  • M. AldossaryK. Djemame
  • Computer Science
    2018 Fifth International Symposium on Innovation in Information and Communication Technology (ISIICT)
  • 2018
TLDR
An Energy-based Cost Model is introduced that considers energy consumption as a key parameter with respect to the actual resource usage and the total cost of the Virtual Machines (VMs).

A Hybrid Approach for Performance and Energy-Based Cost Prediction in Clouds

  • M. Aldossary
  • Computer Science
    Computers, Materials & Continua
  • 2021
TLDR
A novel hybrid approach is proposed, which jointly considered the prediction of performance variation, energy consumption and cost of heterogeneous VMs and estimates the overall cost of live migration and auto-scaling during service operation, with a high prediction accuracy on the basis of historical workload patterns.

Performance and Energy-Based Cost Prediction of Virtual Machines Auto-Scaling in Clouds

  • M. AldossaryK. Djemame
  • Computer Science
    2018 44th Euromicro Conference on Software Engineering and Advanced Applications (SEAA)
  • 2018
TLDR
A Performance and Energy-based Cost Prediction Framework to estimate the total cost of VMs auto-scaling by considering the resource usage and power consumption, while maintaining the expected level of performance is introduced.

Performance and Energy-based Cost Prediction of Virtual Machines Live Migration in Clouds

TLDR
A Performance and Energy-based Cost Prediction Framework to estimate the total cost of VMs live migration by considering the resource usage and power consumption, while maintaining the expected level of performance is introduced.

A Literature Review and Taxonomy on Workload Prediction in Cloud Data Center

TLDR
The workload prediction techniques that forecast the workload in the cloud environment and the value of predicted workload guides for optimising the resources are discussed and the workload taxonomy is presented.

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