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Seven Pillars to Achieve Energy Efficiency in High-Performance Computing Data Centers

  • Sardar Mehboob Hussain
  • Abdul Wahid
  • Munam Ali Shah
  • Adnan Akhunzada
  • Faheem Khan
  • Noor ul Amin
  • Saba Arshad
  • Ihsan Ali
Chapter
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

Nowadays, data centers and high-performance computing (HPC) systems are crucial for intensive computing environments. The energy efficiency in HPC is an evergreen problem. Moreover, energy-efficient design and energy ecology measures are core challenges in HPC. However, current research focuses on practical methods to measure power utilization to take decisions for green computing without exceeding resources and without compromising on performance. This paper surveys the issues, challenges, and their solutions over the period 2010–2016, by focusing on the energy consumption of data centers and HPC systems. We grouped existing problems in energy efficiency that data centers are currently facing. Our contribution is twofold. Firstly, with this categorization, we aim to provide an easy and concise view of the underlying energy efficiency model adopted by each approach. Secondly, we propose seven-pillar framework for energy efficiency in HPC systems and data centers for the first time.

Keywords

Big data High-performance computing HPC Energy efficiency Data centers 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Sardar Mehboob Hussain
    • 1
  • Abdul Wahid
    • 1
  • Munam Ali Shah
    • 1
  • Adnan Akhunzada
    • 1
  • Faheem Khan
    • 2
  • Noor ul Amin
    • 2
  • Saba Arshad
    • 1
  • Ihsan Ali
    • 3
  1. 1.Department of Computer ScienceCOMSATS Institute of Information TechnologyIslamabadPakistan
  2. 2.Department of Computer ScienceBacha Khan UniversityCharsaddaPakistan
  3. 3.Faculty of Computer Science and Information Technology, University of MalayaKuala LumpurMalaysia

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