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Cloud Servers: Resource Optimization Using Different Energy Saving Techniques.

Mohammad Hijji1, Bilal Ahmad2, Gulzar Alam3

  • 1Faculty of Computers & Information Technology, University of Tabuk, Tabuk 71491, Saudi Arabia.

Sensors (Basel, Switzerland)
|November 11, 2022
PubMed
Summary
This summary is machine-generated.

Dynamic voltage and frequency scaling significantly reduces energy consumption in gaming data centers. This method also improves quality of service and minimizes service level agreement violations compared to other techniques.

Keywords:
cloud computingdata centersdistributed systemsenergy savingvirtual machines

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Area of Science:

  • Cloud Computing
  • Edge Computing
  • Distributed Systems

Background:

  • Major tech companies face high energy costs due to large, globally distributed data centers.
  • Energy consumption in IT is influenced by service level agreements, virtual machine selection, and workload types.
  • Power expenses present significant challenges for cloud computing providers.

Purpose of the Study:

  • To address energy-saving challenges in gaming data centers using dynamic voltage and frequency scaling (DVFS).
  • To evaluate DVFS techniques against non-power-aware and static threshold methods for performance and energy efficiency.
  • To guide service providers in meeting quality of service and experience standards while managing energy consumption.

Main Methods:

  • Utilized the CloudSim platform for simulation and analysis.
  • Employed game traces as representative workloads for testing.
  • Compared dynamic voltage and frequency scaling against static and non-power-aware techniques.

Main Results:

  • Dynamic voltage and frequency scaling demonstrated reduced energy utilization.
  • The DVFS method resulted in fewer service level agreement violations.
  • Improved quality of service and user experience were observed with DVFS.

Conclusions:

  • DVFS is an effective strategy for energy conservation in gaming data centers.
  • Implementing DVFS helps maintain high-quality service delivery and user experience.
  • DVFS outperforms static and non-power-aware techniques in energy efficiency and service quality.