Operational Cost Optimization for Cloud Computing Data Centers Using Renewable Energy
暂无分享,去创建一个
[1] Kenneth G. Brill. The Economic Meltdown of Moore's Law and the Green Data Center , 2007, LISA.
[2] Dimos Poulikakos,et al. Aquasar: A hot water cooled data center with direct energy reuse , 2012 .
[3] J. Hardisty. The Analysis of Tidal Stream Power , 2009 .
[4] Jeffrey S. Chase,et al. Making Scheduling "Cool": Temperature-Aware Workload Placement in Data Centers , 2005, USENIX Annual Technical Conference, General Track.
[5] Luiz André Barroso,et al. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines , 2009, The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines.
[6] M.K. Patterson,et al. The effect of data center temperature on energy efficiency , 2008, 2008 11th Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.
[7] Ke Chen,et al. System implications of memory reliability in exascale computing , 2011, 2011 International Conference for High Performance Computing, Networking, Storage and Analysis (SC).
[8] Zhao Zhang,et al. Thermal modeling and management of DRAM memory systems , 2007, ISCA '07.
[9] Vincent P. Manno,et al. Energy savings achievable through liquid cooling: A rack level case study , 2010, 2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.
[10] Nilesh Pancholi,et al. Guidelines to Understanding Design of Experiment and Reliability Prediction , 2013 .
[11] Thomas F. Wenisch,et al. PowerNap: eliminating server idle power , 2009, ASPLOS.
[12] J. Sikora. Disk failures in the real world : What does an MTTF of 1 , 000 , 000 hours mean to you ? , 2007 .
[13] Feng Zhao,et al. Energy aware consolidation for cloud computing , 2008, CLUSTER 2008.
[14] C. Patel,et al. Model-Based Approach for Optimizing a Data Center Centralized Cooling System , 2006 .
[15] Thomas F. Wenisch,et al. DreamWeaver: architectural support for deep sleep , 2012, ASPLOS XVII.
[16] Vanish Talwar,et al. No "power" struggles: coordinated multi-level power management for the data center , 2008, ASPLOS.
[17] Jian Li,et al. TAPO: Thermal-aware power optimization techniques for servers and data centers , 2011, 2011 International Green Computing Conference and Workshops.
[18] E. N. Elnozahy,et al. Energy-Efficient Server Clusters , 2002, PACS.
[19] Amip J. Shah,et al. Green server design: beyond operational energy to sustainability , 2010 .
[20] J. G. Elerath. Specifying reliability in the disk drive industry: No more MTBF's , 2000, Annual Reliability and Maintainability Symposium. 2000 Proceedings. International Symposium on Product Quality and Integrity (Cat. No.00CH37055).
[21] Wolf-Dietrich Weber,et al. Power provisioning for a warehouse-sized computer , 2007, ISCA '07.
[22] Myron Hlynka,et al. Queueing Networks and Markov Chains (Modeling and Performance Evaluation With Computer Science Applications) , 2007, Technometrics.
[23] Eric Peterson,et al. Hybrid cooled data center using above ambient liquid cooling , 2010, 2010 12th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems.
[24] Eduardo Pinheiro,et al. Failure Trends in a Large Disk Drive Population , 2007, FAST.
[25] Anand Sivasubramaniam,et al. Managing server energy and operational costs in hosting centers , 2005, SIGMETRICS '05.
[26] T. N. Vijaykumar,et al. Joint optimization of idle and cooling power in data centers while maintaining response time , 2010, ASPLOS XV.
[27] David E. Irwin,et al. Ensemble-level Power Management for Dense Blade Servers , 2006, 33rd International Symposium on Computer Architecture (ISCA'06).
[28] Mukund Patel,et al. Wind and Solar Power Systems , 1999 .
[29] Kai Strunz,et al. Modeling of tidal energy conversion systems for smart grid operation , 2011, 2011 IEEE Power and Energy Society General Meeting.
[30] Lachlan L. H. Andrew,et al. Dynamic Right-Sizing for Power-Proportional Data Centers , 2011, IEEE/ACM Transactions on Networking.
[31] Sarita V. Adve,et al. AS SCALING THREATENS TO ERODE RELIABILITY STANDARDS, LIFETIME RELIABILITY MUST BECOME A FIRST-CLASS DESIGN CONSTRAINT. MICROARCHITECTURAL INTERVENTION OFFERS A NOVEL WAY TO MANAGE LIFETIME RELIABILITY WITHOUT SIGNIFICANTLY SACRIFICING COST AND PERFORMANCE , 2005 .
[32] Chao Li,et al. A quantitative analysis of cooling power in container-based data centers , 2011, 2011 IEEE International Symposium on Workload Characterization (IISWC).