Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

The Energy Efficiency Potential of Cloud-Based Software: A U.S. Case Study

Technical Report ·
DOI:https://doi.org/10.2172/1171159· OSTI ID:1171159
 [1];  [2];  [1];  [2];  [1];  [2];  [1];  [2]
  1. Northwestern Univ., Evanston, IL (United States)
  2. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
The energy use of data centers is a topic that has received much attention, given that data centers currently account for 1-2% of global electricity use. However, cloud computing holds great potential to reduce data center energy demand moving forward, due to both large reductions in total servers through consolidation and large increases in facility efficiencies compared to traditional local data centers. However, analyzing the net energy implications of shifts to the cloud can be very difficult, because data center services can affect many different components of society’s economic and energy systems.
Research Organization:
Ernest Orlando Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Organization:
USDOE Office of Science (SC)
DOE Contract Number:
AC02-05CH11231
OSTI ID:
1171159
Report Number(s):
LBNL-6298E
Country of Publication:
United States
Language:
English

Similar Records

Energy Efficiency in Small Server Rooms: Field Surveys and Findings
Conference · Mon Aug 11 00:00:00 EDT 2014 · OSTI ID:1172646

Threshold-based queuing system for performance analysis of cloud computing system with dynamic scaling
Journal Article · Tue Mar 10 00:00:00 EDT 2015 · AIP Conference Proceedings · OSTI ID:22391062

A case study of tuning MapReduce for efficient Bioinformatics in the cloud
Journal Article · Wed Oct 05 20:00:00 EDT 2016 · Parallel Computing · OSTI ID:1393100