Affiliation:
1. Sanlian University
2. Anhui International Commerce Vacational College
3. Waseda University
4. Global Information and Telecommunication Institute, Waseda University
Abstract
In recent years, cloud computing has received much attention from both academia and engineering areas. With more and more companies beginning to provide cloud services, more and more data centers are being built. Recent studies show that the energy consumed by cloud data centers accounts for a large fraction of the total power consumption today. This motivates us to survey power reduction techniques in cloud data centers.
Publisher
Trans Tech Publications, Ltd.
Reference15 articles.
1. P. Sehgal, V. Tarasov, E. Zadok. Optimizing energy and performance for server-class file system workloads. ACM Transactions on Storage (TOS), 2010, 6(3): 10.
2. R. T. Kaushik, M. Bhandarkar. Greenhdfs: towards an energy-conserving, storage-efficient, hybrid hadoop compute cluster. Proceedings of the USENIX Annual Technical Conference. 2010: 109.
3. Power Scorecard. Electricity from Coal, Retrieved in April 2008. http: /www. powerscorecard. org/tech detail. cfm?resource id=2.
4. F. Ahmad and T. N. Vijaykumar. Joint optimization of idle and cooling power in data centers while maintaining response time. In Proceedings of the Architectural support for programming languages and operating systems (ASPLOS), (2010).
5. Facts & Stats: Data Architecture and More Data. http: /blog. infotech. com/facts-stats/facts-stats-data-architecture-and-more-data.