Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

Minimization of Costs and Energy Consumption in a Data Center by a Workload-Based Capacity Management

Authors

[ 1 ] Instytut Informatyki, Wydział Informatyki, Politechnika Poznańska | [ D ] phd student

Year of publication

2015

Chapter type

paper

Publication language

english

Keywords
EN
  • data centers
  • energy efficiency
  • simulations
  • heat-aware
  • metrics
  • OPEX
  • CAPEX
Abstract

EN In this paper we present an approach to improve power and cooling capacity management in a data center by taking into account knowledge about applications and workloads. We apply power capping techniques and proper cooling infrastructure configuration to achieve savings in energy and costs. To estimate values of a total energy consumption and costs we simulate both IT software/hardware and cooling infrastructure at once using the CoolEmAll SVD Toolkit. We also investigated the use of power capping to adjust data center operation to variable power supply and pricing. By better adjusting cooling infrastructure to specific types of workloads, we were able to find a configuration which resulted in energy, OPEX and CAPEX savings in the range of 4–25 %.

Pages (from - to)

102 - 119

DOI

10.1007/978-3-319-15786-3_7

URL

https://link.springer.com/chapter/10.1007/978-3-319-15786-3_7

Book

Energy Efficient Data Centers : Third International Workshop, E2DC 2014, Cambridge, UK, June 10, 2014 : Revised Selected Papers

Presented on

3rd International Workshop on Energy Efficient Data Centers, E2DC 2014, 10.06.2014, Cambridge, United Kingdom

Publication indexed in

WoS (15)

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.