Marty Humphrey

Recent Publications

· M. Humphrey, N. Beekwilder, J. Goodall, and M. Ercan. Calibration of Watershed Models using Cloud Computing. Proceedings of the 8th IEEE International Conference on eScience (eScience 2012). Oct 8-12 2012.

· M. Mao and M. Humphrey. A Performance Study on the VM Startup Time in the Cloud. Proceedings of IEEE 5th International Conference on Cloud Computing (Cloud 2012). June 24-29, 2012, Honolulu, Hawaii.

· A. Ruiz-Alvarez and M. Humphrey. A Model and Decision Procedure for Data Storage in Cloud Computing. Proceedings of the IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid’12), May 13-16, 2012, Ottawa Canada. 

· M. Humphrey, Z. Hill, C. van Ingen, K. Jackson, and Y. Ryu. Assessing the Value of Cloudbursting: A Case Study of Satellite Image Processing on Windows Azure. In IEEE e-Science 2011 Conference. Stockholm, Sweden. Dec 5-8, 2011.

· M. Mao and M. Humphrey. Auto-Scaling to Minimize Cost and Meet Application Deadlines in Cloud Workflows. Proceedings of Supercomputing 2011, Seattle, WA,  Nov 15-20, 2011.

· A. Ruiz-Alvarez and M. Humphrey. An Automated Approach to Cloud Storage Service
Selection. Proceedings of the 2nd Workshop on Scientific Cloud Computing (ScienceCloud 2011). June 8, 2011.

· J. Li, M. Humphrey, Y-W Cheah, Y. Ryu, D. Agarwal, K. Jackson, and C. van Ingen. Fault Tolerance and Scaling in e-Science Cloud Applications: Observations from the Continuing Development of MODISAzure . In IEEE e-Science 2010 Conference. Brisbane, Australia. Dec 7-10, 2010.

· Z. Hill and M. Humphrey. CSAL: A Cloud Storage Abstraction Layer to Enable Portable Cloud Applications (work in progress). 2nd IEEE International Conference on Cloud Computing Technology and Science . November 30-December 3, 2010 . Indianapolis, Indiana.

· M. Humphrey, J. Li, and N. Beekwilder. Publication and Consumption of caBIG Data Services using .NET.  Concurrency and Computation: Practice and Experience, vol 22, num 7 (Dec 2010): 2313–2322. doi: 10.1002/cpe.1599

· D. Agarwal, M. Humphrey, N. Beekwilder, K. Jackson, M. Goode, C. van Ingen. A data-centered collaboration portal to support global carbon-flux analysis Concurrency and Computation: Practice and Experience, vol 22, num 7 (Dec 2010): 2313–2322. doi: 10.1002/cpe.1599

· M. Mao, Jie Li and M. Humphrey. Cloud Auto-Scaling with Deadline and Budget Constraints. In Proceedings of 11th ACM/IEEE International Conference on Grid Computing (Grid 2010). Oct 25-28, 2010. Brussels, Belgium.

· Z. Hill, M. Mao, J. Li, A. Ruiz-Alvarez, and M. Humphrey. Early Observations on the Performance of Windows Azure. In 1st workshop on Scientific Cloud Computing. Chicago, Illinois, June 21, 2010.

· S.-M. Park and M. Humphrey. Predictable Time-Sharing for DryadLINQ Cluster. In Proceedings of IEEE International Conference on Autonomic Computing and Communications (ICAC), June 7-11, 2010, Washington DC, USA

· Sang-Min Park, Marty Humphrey, Predictable High Performance Computing Using Feedback Control and Admission Control, IEEE Transactions on Parallel and Distributed Systems, 14 May. 2010. IEEE computer Society Digital Library. IEEE Computer Society, http://doi.ieeecomputersociety.org/10.1109/TPDS.2010.100

· J. Li, D. Agarwal, M. Humphrey, C. van Ingen, K. Jackson, and Y. Ryu. eScience in the Cloud: A MODIS Satellite Data Reprojection and Reduction Pipeline in the Windows Azure Platform. In Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010), Apr 19-23, 2010. Atlanta, Georgia.

· M. Humphrey, D. Agarwal, and C. van Ingen. Fluxdata.org: Publication and Curation of Shared Scientific Climate and Earth Sciences Data. In Proceedings of the 5th IEEE international Conference on e-Science (e-science 2009). Dec 7-9, 2009. Oxford, UK. 

· Z. Hill and M. Humphrey. A Quantitative Analysis of High Performance Computing with Amazon’s EC2 Infrastructure. In Proceedings of the 10th IEEE/ ACM International Conference on Grid Computing (Grid 2009). Oct 13-15 2009. Banff, Alberta, Canada.

· Z. Hill and M. Humphrey. Applicability of the Willow Architecture for Cloud Management. First Workshop on Automated Control for Datacenters and Clouds (ACDC09). In conjunction with the 6th Intl. Conference on Autonomic Computing and Communications (ICAC 2009). Barcelona, Spain. June 19, 2009.

· S.-M. Park and M. Humphrey. Self-tuning Virtual Machines for Predictable eScience.  Proceedings of 9th IEEE International Symposium on Cluster Computing and the Grid (ccGrid 2009), May 18-21, 2009, Shanghai, China.

· A. Ruiz Alvarez, C. Smith, and M. Humphrey. BES++: HPC Profile Open Source C Implementation. 9th IEEE/ACM International Conference on Grid Computing (Grid 2008). September 29th – October 1st, 2008. Tsukuba, Japan.

· S.-M. Park and M. Humphrey. Feedback-Controlled Resource Sharing for Predictable eScience. Proceedings of Supercomputing 2008, Austin, TX,  Nov 15-21, 2008.