 A dynamic pricing model for carbon-aware compute clustersHari Sowrirajan and George Wang International Journal of Revenue Management, 2023, vol. 13, issue 4, 217-237 Abstract: The rising demand for compute services has led to a proliferation of data centres (computer clusters), resulting in a significant environmental footprint as over 1.5% of the global power supply is consumed. In this work, we propose an incentive-compatible pricing mechanism for cloud computing providers that automatically promotes customers to submit jobs in a carbon-aware fashion. To demonstrate the efficacy of the mechanism, we have developed a power model and a job submission model to simulate the operation of compute clusters. We also employ auction theory to incorporate cluster parameterisation into a pricing mechanism. With this mechanism, strong utilisation of renewable energy and high utility for customers can be achieved by appropriately allocating high/low-priority jobs, both for synthetic as well as real-life workloads. Our work provides a possible solution, with environmental and financial benefits, for cloud computing providers who seek to minimise their carbon footprint while gaining a competitive advantage by passing the energy savings to their customers. Keywords: pricing mechanisms; computerisation; auction theory; data centre management; renewable energy; cloud computing. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijrevm:v:13:y:2023:i:4:p:217-237 Access Statistics for this article More articles in International Journal of Revenue Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.