Skip to Main content Skip to Navigation
New interface
Conference papers

Smart Heuristics for Power Constraints in Data Centers Powered by Renewable Sources

Abstract : In recent years, academics and industry have increased their efforts to find solutions to reduce greenhouse gas (GHG) due to its impact on climate change. Two approaches to reducing these emissions are decreasing energy consumption and/or increasing the use of clean energy. Data centers are one of the most expensive energy actors in Information and Communications Technology (ICT). One way to provide clean energy to Data Centers is by using power from renewable sources, such as solar and wind. However, renewable energy introduces several uncertainties due to its intermittence. Dealing with these uncertainties demands different approaches at different levels of management. This work is part of the Datazero2 Project which introduces a clean-by-design data center architecture using only renewable energy. Due to no connection to the grid, the data center manager must handle power envelope constraints. This article investigates some scheduling and power capping online heuristics in an attempt to identify the best algorithms to handle fluctuating power profiles without hindering job execution. Then, it details experiments comparing the results of the heuristics. The results show that our heuristic provides a well-balanced solution considering power and Quality of Service (QoS).
Complete list of metadata
Contributor : Igor Fontana de Nardin Connect in order to contact the contributor
Submitted on : Monday, August 22, 2022 - 3:34:59 PM
Last modification on : Thursday, December 8, 2022 - 9:20:34 AM
Long-term archiving on: : Wednesday, November 23, 2022 - 11:44:03 PM


Publisher files allowed on an open archive


  • HAL Id : hal-03757548, version 1


Igor Fontana de Nardin, Patricia Stolf, Stéphane Caux. Smart Heuristics for Power Constraints in Data Centers Powered by Renewable Sources. Conférence francophone d'informatique en Parallélisme, Architecture et Système (COMPAS 2022), Jul 2022, Amiens, France. paper 7. ⟨hal-03757548⟩



Record views


Files downloads