Loading...

Data center power reduction by heuristic variation-aware server placement and chassis consolidation

Pahlavan, A ; Sharif University of Technology | 2012

896 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/CADS.2012.6316436
  3. Publisher: 2012
  4. Abstract:
  5. The growth in number of data centers and its power consumption costs in recent years, along with ever increasing process variation in nanometer technologies emphasizes the need to incorporate variation-aware power reduction strategies in early design stages. Moreover, since the power characteristics of identically manufactured servers vary in the presence of process variation, their position in the data center should be optimally determined. In this paper, we introduce two heuristic variation-aware server placement algorithm based on power characteristic of servers and heat recirculation model of data center. In the next step, we utilize an Integer Linear Programming (ILP) based variation-aware chassis consolidation technique to assign tasks to servers such that total power consumption of data center is minimized under obtained server placement. Evaluating the proposed server placement heuristics reveals that up to 14.85% power savings can be achieved under different utilization rates compared to conventional random server placement method
  6. Keywords:
  7. Power Consumption ; Server Placement ; Consolidation techniques ; Data centers ; Early design stages ; Heat recirculation ; Integer Linear Programming ; Nanometer technology ; Number of datum ; Power characteristic ; Power reductions ; Power savings ; Process Variation ; Server placements ; Task assignment ; Total power consumption ; Utilization rates ; Computer architecture ; Electric power utilization ; Integer programming ; Chassis
  8. Source: CADS 2012 - 16th CSI International Symposium on Computer Architecture and Digital Systems ; 2012 , Pages 150-155 ; 9781467314824 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6316436