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[1] Armbrust, M., et. al.. Above the Coulds: A Berkeley View of Cloud Computing.technical report, 2009.
[2] 中国云计算网，http://www.cloudcomputing-china.cn/Index.html.
[3] 陈康，郑纬民.云计算：系统实例与研究现状.软件学报，2009，20（5）：1337-1348.
[4] Google: Barroso, L., et al.. The Datacenter as a Computer: An Introduction to the Design of Warehouse-Scale Machines, 2009.
[5] Barroso, L., et al.. Web Search for a Planet: the Google Cluster architecture. IEEE Computer Society, 2003.
[6] Ghemawat, S.,et al.. The Google File System.SOSP’03, October19-22, 2003, Bolton Landing, New York, USA.
[7] Dean, J. and Ghemawat, S. MapReduce: Simplified Data Processing on Large Clusters. OSDI'04: Sixth Symposium on Operating System Design and Implementation, 2004, pp. 137-150.
[8] Amazon: Amazon Elastic Compute Cloud, http://aws.amazon.com/ec2/.
[9] Garfinkel, S., et al.. An Evaluation of Amazon’s Grid Computing Services: EC2, S3 and SQS. Technical Report TR-08-07.
[10] Ostermann, S. , et al. A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing. In Proceedings of Cloudcomp 2009 （CloudComp）, October 19-21, 2009, Munich, Germany. ISBN 978-963-9799-77-6, Page x-（x+17）.
[11] IBM: IBMCloud Computing, http://www.ibm.com/ibm/cloud/.IBM, Boss, G., et al. Cloud Computing White Paper, IBMCorporation 2007.
[12] Vouk，M.. Cloud Computing—Issues, Research and Implementations, Information Technology Interfaces, 2008. ITI 2008. 30th International Conference on.
[13] Vouk, M., Averitt, S., et al.. “Powered by VCL”-Using Virtual Computing Laboratory （VCL） Technology to Power Cloud Computing. In the proceedings of 2nd International Conference on the Virtual Computing Initiative , pp.1-10, May 2008, Research Triangle Park, IBMheadquarter, NC, USA.
[14] HP: HP Cloud Research, http://www.hpl.hp.com/research/cloud.html.
[15] HP: HP datacenter, http://h20195.www2.hp.com/v2/GetPDF.aspx/4AA1-8079ENW.pdf.
[16] HP: Patel, C.D., et al.. Cost Model for Planning, Development and Operation of a Data Center, June 9, 2005.
[17] Sun: Sun Cloud Computing, http://www.sun.com/solutions/cloudcomputing/.
[18] Sun: Introduction Cloud Computing architecture White Paper, 1st Edition, June 2009.
[19] VMWare: Vmware Cloud Computing, http://www.vmware.com/solutions/cloud-computing/.
[20] VMWare: Grieser,T.Enabling Datacenter Automation with Virtualized Infrastructure , Sponsored by Vmware, August 2008.
[21] CISCO: Cisco Cloud Computing, http://www.cisco.com/en/US/netsol/ns976/index.html.
[22] CISCO: Cisco Cloud Computing -Data Center Strategy, Architecture,and Solutions. Point of View, White Paper for U.S. Public Sector, 1st Edition, 2009.
[23] The Hadoop Project. Available at http://hadoop.apache.org.
[24] Reilly, O.. Hadoop-The Definitive Guide.June.2009.03.
[25] Encalyptus: Encalyptus Public Cloud, http://open.eucalyptus.com/wiki/Documentation.
[26] Daniel, N. et al.. The Eucalyptus Open-source Cloud-computing System. in Proceedings of 9th IEEE International Symposium on Cluster Computing and the Grid, Shanghai, China, 2008.
[27] Cloud-Standards,http://cloud-standards.org/wiki/index.php?title=Main_Page#NIST_Working_ Definition_of_Cloud_Computing.
[28] Greenberg, S., et al.. Best Practices for Data Centers: Lessons Learned from Benchmarking 22 Data Centers. 2006.
[29] National Laboratory Research on Datacenters .http://hightech.lbl.gov/datacenters.html.
[30] LBNL 2006.http://hightech.lbl.gov/datacenters.html. High-Performance Buildings for High-Tech Industries, Data Centers. Berkeley, Calif.: Lawrence Berkeley National Laboratory.
[31] Wang, L. , et al.. Towards Thermal Aware Workload Data Center. In the Proceedings of the 10th International Symposium on Pervasive Systems, Algorithms and Networks, 2009.
[32] Tang, Q., et al.. Energy-Efficient, Thermal-Aware Task Scheduling for Homogeneous, High Performance Computing Data Centers: A Cyber-Physical Approach. IEEE Transactions on Parallel and Distributed Systems archive Volume 19 , Issue 11 （November 2008） Pages: 1458-1472.
[33] Tian, WH.. Analytical Models and Efficient Dimensioning Algorithms: for Communication Systems in Randomly Changing Traffic Environments. LAP Lambert Academic Publishing （10 Jul 2009）, ISBN-978-3-8383-0458-8.
[34] Tian, WH.. Three Ways to Improve the Efficiency of Virtual/Clould Computing Lab. In the proceedings of The IEEE International Conference on Apperceicing Computing and Intelligence Analysis 2008 （ICACIA’08）, Dec. 2008.
[35] Tian,WH.. Adaptive Dimensioning of Cloud Data Centers. In the proceeding of the 8th IEEE International Conference on Dependable, Automatic and Secure Computing, DACS 2009, pp. 5-10.