Exploring application and infrastructure adaptation on hybrid grid-cloud infrastructure
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing
Elastic Cloud Caches for Accelerating Service-Oriented Computations
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Data Sharing Options for Scientific Workflows on Amazon EC2
Proceedings of the 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis
Experiences using cloud computing for a scientific workflow application
Proceedings of the 2nd international workshop on Scientific cloud computing
Supporting GPU sharing in cloud environments with a transparent runtime consolidation framework
Proceedings of the 20th international symposium on High performance distributed computing
State of the Practice Reports
SpotMPI: a framework for auction-based HPC computing using amazon spot instances
ICA3PP'11 Proceedings of the 11th international conference on Algorithms and architectures for parallel processing - Volume Part II
A hybrid virtualized environment for clouds
Proceedings of the Workshop on Posters and Demos Track
MATE-EC2: a middleware for processing data with AWS
Proceedings of the 2011 ACM international workshop on Many task computing on grids and supercomputers
An Evaluation of the Cost and Performance of Scientific Workflows on Amazon EC2
Journal of Grid Computing
Establishing composite SLAs through concurrent QoS negotiation with surplus redistribution
Concurrency and Computation: Practice & Experience
Towards cross-platform cloud computing
Euro-Par'11 Proceedings of the 2011 international conference on Parallel Processing
Component-based approach for programming and running scientific applications on grids and clouds
International Journal of High Performance Computing Applications
A general-purpose virtualization service for HPC on cloud computing: an application to GPUs
PPAM'11 Proceedings of the 9th international conference on Parallel Processing and Applied Mathematics - Volume Part I
Performance analysis of HPC applications in the cloud
Future Generation Computer Systems
Designing and Deploying a Scientific Computing Cloud Platform
GRID '12 Proceedings of the 2012 ACM/IEEE 13th International Conference on Grid Computing
An experimental study of open-source cloud platforms for dust storm forecasting
Proceedings of the 20th International Conference on Advances in Geographic Information Systems
Survey Cloud monitoring: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Scientific computing with Google App Engine
Future Generation Computer Systems
Statistically Enhanced Multi-Dimensional Trust Computing Mechanism for Cloud Computing
International Journal of Mobile Computing and Multimedia Communications
Evaluating open-source cloud computing solutions for geosciences
Computers & Geosciences
Analysis of I/O Performance on an Amazon EC2 Cluster Compute and High I/O Platform
Journal of Grid Computing
The Journal of Supercomputing
Supporting Scientific Collaboration: Methods, Tools and Concepts
Computer Supported Cooperative Work
A compound OpenMP/MPI program development toolkit for hybrid CPU/GPU clusters
The Journal of Supercomputing
From Service Oriented to Cloud Powered Manufacturing Systems
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Scientific computing often requires the availability of a massive number of computers for performing large scale experiments. Traditionally, these needs have been addressed by using high-performance computing solutions and installed facilities such as clusters and super computers, which are difficult to setup, maintain, and operate. Cloud computing provides scientists with a completely new model of utilizing the computing infrastructure. Compute resources, storage resources, as well as applications, can be dynamically provisioned (and integrated within the existing infrastructure) on a pay per use basis. These resources can be released when they are no more needed. Such services are often offered within the context of a Service Level Agreement (SLA), which ensure the desired Quality of Service (QoS). Aneka, an enterprise Cloud computing solution, harnesses the power of compute resources by relying on private and public Clouds and delivers to users the desired QoS. Its flexible and service based infrastructure supports multiple programming paradigms that make Aneka address a variety of different scenarios: from finance applications to computational science. As examples of scientific computing in the Cloud, we present a preliminary case study on using Aneka for the classification of gene expression data and the execution of fMRI brain imaging workflow.