MapReduce: simplified data processing on large clusters
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Amazon S3 for science grids: a viable solution?
DADC '08 Proceedings of the 2008 international workshop on Data-aware distributed computing
The cost of doing science on the cloud: the Montage example
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Proceedings of the 2008 annual research conference of the South African Institute of Computer Scientists and Information Technologists on IT research in developing countries: riding the wave of technology
Can cloud computing reach the top500?
Proceedings of the combined workshops on UnConventional high performance computing workshop plus memory access workshop
Bioinformatics
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Scientific workflows and clouds
Crossroads - Plugging Into the Cloud
The impact of virtualization on network performance of amazon EC2 data center
INFOCOM'10 Proceedings of the 29th conference on Information communications
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Performance Analysis of High Performance Computing Applications on the Amazon Web Services Cloud
CLOUDCOM '10 Proceedings of the 2010 IEEE Second International Conference on Cloud Computing Technology and Science
Scientific Computing in the Cloud
Computing in Science and Engineering
Proceedings of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis
MARIANE: MApReduce Implementation Adapted for HPC Environments
GRID '11 Proceedings of the 2011 IEEE/ACM 12th International Conference on Grid Computing
Understanding scheduling implications for scientific applications in clouds
Proceedings of the 9th International Workshop on Middleware for Grids, Clouds and e-Science
Riding the elephant: managing ensembles with hadoop
Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
International Journal of Decision Support System Technology
HTC scientific computing in a distributed cloud environment
Proceedings of the 4th ACM workshop on Scientific cloud computing
BlobCR: Virtual disk based checkpoint-restart for HPC applications on IaaS clouds
Journal of Parallel and Distributed Computing
Failure analysis of distributed scientific workflows executing in the cloud
Proceedings of the 8th International Conference on Network and Service Management
Scalable multimedia content analysis on parallel platforms using python
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Poncho: enabling smart administration of full private clouds
LISA'13 Proceedings of the 27th international conference on Large Installation System Administration
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Cloud resources promise to be an avenue to address new categories of scientific applications including data-intensive science applications, on-demand/surge computing, and applications that require customized software environments. However, there is a limited understanding on how to operate and use clouds for scientific applications. Magellan, a project funded through the Department of Energy's (DOE) Advanced Scientific Computing Research (ASCR) program, is investigating the use of cloud computing for science at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Facility (NERSC). In this paper, we detail the experiences to date at both sites and identify the gaps and open challenges from both a resource provider as well as application perspective.