Thermal prediction models for virtualized data center servers by using thermal-profiles

Muhammad Tayyab Chaudhry, Chun Yong Chong, T. C. Ling, Saim Rasheed, Jongwon Kim

Research output: Contribution to journalArticleResearchpeer-review

3 Citations (Scopus)


The energy dissipated as heat for each utilization level of a data center server is empirically measured and stored as the thermal-profile. These thermal-profiles are used to predict the outlet temperatures of the related servers for current and future utilization. The predicted outlet temperature is an important parameter for energy efficient thermal-aware workload scheduling and workload migration in green data centers. This paper presents three models for outlet temperature prediction on virtualized data center servers based on thermal-profile. The best case scenario managed to predict the outlet temperature with a negligible error of 0.3 degree Celsius.

Original languageEnglish
Pages (from-to)1-14
Number of pages14
JournalMalaysian Journal of Computer Science
Issue number1
Publication statusPublished - 2016
Externally publishedYes


  • Data center
  • Monitoring
  • Servers
  • Thermal-prediction
  • Thermal-profile
  • Virtualization

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