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Experiences using cloud computing for a scientific workflow application

Jens-Sönke Vöckler, Gideon Juve, Ewa Deelman, Mats Rynge, Bruce Berriman
2011 Proceedings of the 2nd international workshop on Scientific cloud computing - ScienceCloud '11  
We also demonstrate how Pegasus was able to support sky computing by executing a single workflow across multiple cloud infrastructures simultaneously.  ...  We describe how the application was deployed, evaluate its performance executing in different clouds (based on Nimbus, Eucalyptus, and EC2), and discuss the challenges of deploying and executing workflows  ...  The FutureGrid project provides an experimental platform that accommodates batch, grid and cloud computing, allowing researchers to attack a range of research questions associated with optimizing, integrating  ... 
doi:10.1145/1996109.1996114 fatcat:xaldzcbzrjdvzob4qjglgufkvq

Enabling large-scale testing of IaaS cloud platforms on the grid'5000 testbed

Sébastien Badia, Alexandra Carpen-Amarie, Adrien Lèbre, Lucas Nussbaum
2013 Proceedings of the 2013 International Workshop on Testing the Cloud - TTC 2013  
Almost ten years after its premises, the Grid'5000 platform has become one of the most complete testbeds for designing or evaluating large-scale distributed systems.  ...  In this paper, we present the latest mechanisms we designed to enable the automated deployment of the major open-source IaaS cloudkits (i.e., Nimbus, OpenNebula, CloudStack, and OpenStack) on Grid'5000  ...  Such large-scale distributed and parallel systems raise specific research issues and computer science, as other sciences, needs instruments to validate theoretical research results, as well as software  ... 
doi:10.1145/2489295.2489298 fatcat:fmqoeqsnkfbl7dihnrrf6jp2ku

Federated Computing for the Masses--Aggregating Resources to Tackle Large-Scale Engineering Problems

Javier Diaz-Montes, Yu Xie, Ivan Rodero, Jaroslaw Zola, Baskar Ganapathysubramanian, Manish Parashar
2014 Computing in science & engineering (Print)  
An exploration of the use of aggregated high-performance computing resources to solve large-scale engineering problems shows that it's possible to build a computational federation that's easy for users  ...  The fusion of federated computing and real-life engineering problems is brought to the average user by providing relevant middleware.  ...  We thank the SciCom group at the Universidad de Castilla-la Mancha, Spain, for providing access to Hermes; and the Distributed Computing research group at the Institute of High-Performance Computing, Singapore  ... 
doi:10.1109/mcse.2013.134 fatcat:rtzqe2eb5fcsjpgqpeqyzmy6n4

Building Dynamic Computing Infrastructures over Distributed Clouds

Pierre Riteau
2011 2011 First International Symposium on Network Cloud Computing and Applications  
These clouds were built using two experimental testbeds: FutureGrid in the USA and Grid'5000 [2] in France.  ...  To build these large scale computing infrastructures, we follow the Sky Computing [5] approach proposed to federate resources from multiple clouds.  ... 
doi:10.1109/ncca.2011.27 dblp:conf/ncca/Riteau11 fatcat:hwdqsa3w6rfsfcy5lfdkar3sde

Building Dynamic Computing Infrastructures over Distributed Clouds

Pierre Riteau
2011 2011 IEEE International Symposium on Parallel and Distributed Processing Workshops and Phd Forum  
These clouds were built using two experimental testbeds: FutureGrid in the USA and Grid'5000 [2] in France.  ...  To build these large scale computing infrastructures, we follow the Sky Computing [5] approach proposed to federate resources from multiple clouds.  ... 
doi:10.1109/ipdps.2011.386 dblp:conf/ipps/Riteau11 fatcat:wct32xt6srgcnjs6rxgtb6mr7a

The application of cloud computing to scientific workflows: a study of cost and performance

G. B. Berriman, E. Deelman, G. Juve, M. Rynge, J.-S. Vockler
2012 Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences  
can be run cheaply and efficiently on the cloud, and an example of an application well suited to the cloud: processing a large dataset to create a new science product.  ...  Cloud computing is a new way of purchasing computing and storage resources on demand through virtualization technologies.  ...  We executed two sets of relatively small processing runs on the Amazon cloud, and a larger run on the TeraGrid, a large-scale US Cyberinfrastructure.  ... 
doi:10.1098/rsta.2012.0066 pmid:23230152 fatcat:6uwot47ocvay3lykbud53n77mi

Resilin: Elastic MapReduce over Multiple Clouds

A. Iordache, C. Morin, N. Parlavantzas, E. Feller, P. Riteau
2013 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing  
The evaluation of Resilin shows the benefits of running computations on more than one cloud.  ...  The MapReduce programming model, introduced by Google, offers a simple and efficient way of performing distributed computation over large data sets.  ...  Federating computing power from several such clouds to create large scale infrastructures has been proposed as the sky computing approach [18] .  ... 
doi:10.1109/ccgrid.2013.48 dblp:conf/ccgrid/IordacheMPFR13 fatcat:m2cwsjcefraotbtv2tecdfay34

Using imbalance metrics to optimize task clustering in scientific workflow executions

Weiwei Chen, Rafael Ferreira da Silva, Ewa Deelman, Rizos Sakellariou
2015 Future generations computer systems  
workshop on Grid computing and e-research - Volume 44, 2005, Systems, Sci.  ...  Truong, Askalon: a tool set for cluster and grid computing: Research [13] R. Ferreira da Silva, T. Glatard, F. Desprez, On-line, non-clairvoyant op- articles, Concurr. Comput. : Pract.  ... 
doi:10.1016/j.future.2014.09.014 fatcat:3wmkdt7h45fyvfe6hc4nrbkila