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SEEVMC: A secure, energy-efficient virtual machine consolation approach for QoS in cloud data centers

  • Muhammad Usman*
  • , Juhua Pu
  • , Attique Ur Rehman
  • , Muhammad Khalil Afzal
  • , Muhammad Arshad
  • , Yar Muhammad
  • *Corresponding author for this work
  • Beihang University
  • Huazhong University of Science and Technology
  • COMSATS University Islamabad

Research output: Contribution to journalArticlepeer-review

Abstract

Cloud computing faces challenges in energy consumption and quality of service (QoS). Virtual machine (VM) consolidation, involving relocation between hosts, helps reduce power usage and enhance QoS. OpenStack Neat, a leading VM consolidation framework, uses the modified best-fit decreasing (MBFD) strategy but faces energy consumption and QoS issues. To address these, we present the secure energy efficient VM consolidation (SEEVMC) method, introducing a unique host selection criterion based on incurred loss during VM placement. We evaluated SEEVMC with real-time workload data from PlanetLab and Materna over ten days using CloudSim. For PlanetLab, SEEVMC reduced energy consumption by 78.33%, 57.74%, 19.57%, and 6.30% and reduced system-level agreement (SLA) violations by 92.49%, 92.78%, 45.16%, and 15.67%, compared with MBFD, power-aware best fit decreasing, medium fit power efficient decreasing, and power-efficient bit decreasing. For Materna, SEEVMC reduced energy consumption by 14.12%, 59.5%, 3.92%, and 3.80% and fewer SLA violations by 74.85%, 86.95%, 11.40%, and 46.60%. SEEVMC also reduced VM migrations and SLA time per active host, improving cloud computing efficiency.

Original languageEnglish
Pages (from-to)333-351
Number of pages19
JournalETRI Journal
Volume48
Issue number2
DOIs
StatePublished - Apr 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • OpenStack clouds
  • cloud computing
  • energy efficiency
  • virtual machine consolidation
  • virtual machine migration
  • virtual machine placement

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