Early observations on the performance of Windows Azure
暂无分享,去创建一个
Jie Li | Marty Humphrey | Zach Hill | Ming Mao | Arkaitz Ruiz-Alvarez | M. Humphrey | Ming Mao | Jie Li | Arkaitz Ruiz-Alvarez | Z. Hill
[1] Alan H. Strahler,et al. The Moderate Resolution Imaging Spectroradiometer (MODIS): land remote sensing for global change research , 1998, IEEE Trans. Geosci. Remote. Sens..
[2] Jie Li,et al. eScience in the cloud: A MODIS satellite data reprojection and reduction pipeline in the Windows Azure platform , 2010, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS).
[3] Jie Li,et al. Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure , 2010, 2010 IEEE Sixth International Conference on e-Science.
[4] G. Pierre,et al. EC 2 Performance Analysis for Resource Provisioning of Service-Oriented Applications , 2009 .
[5] Miron Livny,et al. The cost of doing science on the cloud: The Montage example , 2008, 2008 SC - International Conference for High Performance Computing, Networking, Storage and Analysis.
[6] Matei Ripeanu,et al. Amazon S3 for science grids: a viable solution? , 2008, DADC '08.
[7] Randy H. Katz,et al. Above the Clouds: A Berkeley View of Cloud Computing , 2009 .
[8] Chandra Krintz,et al. Evaluating the Performance Impact of Xen on MPI and Process Execution For HPC Systems , 2006, First International Workshop on Virtualization Technology in Distributed Computing (VTDC 2006).
[9] A. Zahariev. Google App Engine , 2009 .
[10] G. Bruce Berriman,et al. On the Use of Cloud Computing for Scientific Workflows , 2008, 2008 IEEE Fourth International Conference on eScience.
[11] Jie Li,et al. Early observations on the performance of Windows Azure , 2011, CloudCom 2011.
[12] Eugene Ciurana,et al. Google App Engine , 2009 .
[13] Tejaswi Redkar,et al. Windows Azure Platform , 2010 .
[14] Guillaume Pierre,et al. EC2 Performance Analysis for Resource Provisioning of Service-Oriented Applications , 2009, ICSOC/ServiceWave Workshops.
[15] Willy Zwaenepoel,et al. Diagnosing performance overheads in the xen virtual machine environment , 2005, VEE '05.
[16] Constantinos Evangelinos,et al. Cloud Computing for parallel Scientific HPC Applications: Feasibility of Running Coupled Atmosphere- , 2008 .
[17] Simson L. Garfinkel,et al. An Evaluation of Amazon's Grid Computing Services: EC2, S3, and SQS , 2007 .
[18] Adit Ranadive,et al. Performance implications of virtualizing multicore cluster machines , 2008, HPCVirt '08.
[19] Rajkumar Buyya,et al. Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .
[20] Yong Zhao,et al. Cloud Computing and Grid Computing 360-Degree Compared , 2008, GCE 2008.
[21] Marty Humphrey,et al. A quantitative analysis of high performance computing with Amazon's EC2 infrastructure: The death of the local cluster? , 2009, 2009 10th IEEE/ACM International Conference on Grid Computing.
[22] Edward Walker,et al. Benchmarking Amazon EC2 for High-Performance Scientific Computing , 2008, login Usenix Mag..