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Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows

Gideon Juve, Mats Rynge, Ewa Deelman, Jens-S. Vockler, G. Bruce Berriman
2013 Computing in science & engineering (Print)  
cloud, and the Open Science Grid.  ...  Today scientists have many different options for deploying their applications, including grids such as Open Science Grid [24] or XSEDE [8], commercial clouds such as Amazon EC2 [1] or The Rackspace Cloud  ...  This research was done using resources provided by the Open Science Grid, which is supported by the NSF and the DOE's Office of Science.  ... 
doi:10.1109/mcse.2013.44 fatcat:loobib3hfbh63l3xuevxdpvyue

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  
This workflow was deployed across multiple clouds using the Pegasus Workflow Management System. The clouds used include several sites within the FutureGrid, NERSC's Magellan cloud, and Amazon EC2.  ...  Clouds are rapidly becoming an important platform for scientific applications. In this paper we describe our experiences running a scientific workflow application in the cloud.  ...  They ran an fMRI workflow on Amazon EC2 using S3 for storage, compared the performance to Grid'5000, and analyzed the cost on different numbers of nodes.  ... 
doi:10.1145/1996109.1996114 fatcat:xaldzcbzrjdvzob4qjglgufkvq

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  
The current model of transferring data from data centres to desktops for analysis will soon be rendered impractical by the accelerating growth in the volume of science datasets.  ...  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.  ...  The Amazon Elastic Compute Cloud (EC2; hereafter, AmEC2) is perhaps the best known commercial cloud provider, but academic clouds such as Magellan and FutureGrid are under development for use by the science  ... 
doi:10.1098/rsta.2012.0066 pmid:23230152 fatcat:6uwot47ocvay3lykbud53n77mi

Cloud Computing [Guest editorial]

George K. Thiruvathukal, Manish Parashar
2013 Computing in science & engineering (Print)  
For example, in "Comparing FutureGrid, Amazon EC2, and Open Science Grid for Scientific Workflows," Gideon Juve and his colleagues explore the use of various cyberinfrastructure alternatives (computational  ...  grids and public or private clouds) to execute scientific workflows, an important class of scientific applications.  ... 
doi:10.1109/mcse.2013.78 fatcat:f6yzjc33cjcvdedjagwswy6rmu

Enabling scalable scientific workflow management in the Cloud

Yong Zhao, Youfu Li, Ioan Raicu, Shiyong Lu, Wenhong Tian, Heng Liu
2015 Future generations computer systems  
We discuss the performance of cluster provisioning within the OpenNebula Cloud platform, the Eucalyptus Cloud platform and Amazon EC2, and we demonstrate the capability and efficiency of the integration  ...  Scientific workflow management plays a very important role for scientific computing and application coordination, while Cloud computing offers scalability and resource on-demand.  ...  Acknowledgments This work was supported by National Natural Science Foundation of China No. 61272528, No. 61034005, and the Central University Fund (ID-ZYGX2013J073).  ... 
doi:10.1016/j.future.2014.10.023 fatcat:myqbnunkk5dmdml4stdgvedk2y

Survey and Analysis of Production Distributed Computing Infrastructures

Daniel S. Katz, Jon Weissman, Shantenu Jha, Omer Rana, Manish Parashar
2012 Figshare  
This includes explaining why each infrastructure was created and made available and how it has succeeded and failed. The set is not complete, but we believe it is representative.  ...  Applications are often designed and created with specific infrastructures in mind, with both an appreciation of the existing capabilities provided by those infrastructures and an anticipation of their  ...  Open Science Grid Open Science Grid (OSG) [64] is a US distributed-computing infrastructure for large-scale scientific research, primarily loosely coupled, high-throughput computing.  ... 
doi:10.6084/m9.figshare.94265.v1 fatcat:dd2q2dkj3nculd45ddwgnwbwa4

Survey and Analysis of Production Distributed Computing Infrastructures [article]

Daniel S. Katz, Shantenu Jha, Manish Parashar, Omer Rana, Jon Weissman
2012 arXiv   pre-print
This includes explaining why each infrastructure was created and made available and how it has succeeded and failed. The set is not complete, but we believe it is representative.  ...  Applications are often designed and created with specific infrastructures in mind, with both an appreciation of the existing capabilities provided by those infrastructures and an anticipation of their  ...  Open Science Grid Open Science Grid (OSG) [66] is a US distributed-computing infrastructure for large-scale scientific research, primarily loosely coupled, high-throughput computing.  ... 
arXiv:1208.2649v1 fatcat:goz6g7zkj5apzbwt4qvfrnbnlu

Federating Advanced Cyberinfrastructures with Autonomic Capabilities [chapter]

Javier Diaz-Montes, Ivan Rodero, Mengsong Zou, Manish Parashar
2014 Cloud Computing for Data-Intensive Applications  
Clouds are also rapidly joining high performance computing system, clusters and grids as viable platforms for scientific exploration and discovery.  ...  Clouds provide on-demand access to computing utilities, an abstraction of unlimited computing resources, and support for ondemand scale up, scale down and scale out.  ...  This is especially true for commodity and virtualized resources-such as those provided by FutureGrid and Amazon EC2.  ... 
doi:10.1007/978-1-4939-1905-5_9 fatcat:eyuo5q37enaofehsubefabd7ky

A System Architecture for Running Big Data Workflows in the Cloud

Andrey Kashlev, Shiyong Lu
2014 2014 IEEE International Conference on Services Computing  
To this end, we conduct a hands-on study by running a big data workflow in Amazon EC2, FutureGrid Eucalyptus and OpenStack clouds.  ...  Scientific workflows have become an important paradigm for domain scientists to formalize and structure complex data-intensive scientific processes.  ...  Third, we implemented the DATAVIEW system that delivers a specific implementation of our architecture and ran a big data workflow in Amazon EC2, FutureGrid Eucalyptus, and FutureGrid Openstack clouds to  ... 
doi:10.1109/scc.2014.16 dblp:conf/IEEEscc/KashlevL14 fatcat:4mmgfb7lafdfrovnpmvtgp7gfi

Exploiting Virtualization and Cloud Computing in ATLAS

Fernando Harald Barreiro Megino, Doug Benjamin, Kaushik De, Ian Gable, Val Hendrix, Sergey Panitkin, Michael Paterson, Asoka De Silva, Daniel van der Ster, Ryan Taylor, Roberto A Vitillo, Rod Walker
2012 Journal of Physics, Conference Series  
LHC Computing Grid (WLCG) sites for offline data distribution, storage, processing and analysis.  ...  Finally, we will present the ATLAS strategies for exploiting cloud-based storage, including remote XROOTD access to input data, management of EC2-based files, and the deployment of cloud-resident LCG storage  ...  Xen, KVM, EC2, S3, OCCI) and to evaluate which of the existing grid workflows can best make use of them.  ... 
doi:10.1088/1742-6596/396/3/032011 fatcat:tctfguwshbhwdcopsbrpsuczei

Workflow overhead analysis and optimizations

Weiwei Chen, Ewa Deelman
2011 Proceedings of the 6th workshop on Workflows in support of large-scale science - WORKS '11  
In this paper, we present the workflow overhead analysis for our prior runs in Cloud and Grid platforms.  ...  The execution of scientific workflows often suffers from a variety of overheads in distributed environments.  ...  ), Michael Freitas (Proteomics), and Johnathan Livny (SIPHT) for providing original data for analysis.  ... 
doi:10.1145/2110497.2110500 dblp:conf/sc/ChenD11 fatcat:p7j3t7gss5afzl7mtg6pl6vwza

Bringing Scientific Workflows to Amazon SWF

Matthias Janetschek, Simon Ostermann, Radu Prodan
2013 2013 39th Euromicro Conference on Software Engineering and Advanced Applications  
In this context, Cloud providers have recognised the importance of workflow applications to science and provide their own native solutions, such as the Amazon Simple Workflow Service (SWF).  ...  Nevertheless, an important downside of SWF is its incompatibility with existing workflow systems, and lack of means for reusing scientific legacy code.  ...  In this paper, we show how the IWIR-based approach opens the Amazon EC2 infrastructure and its SWF workflow system to the scientific community through one single IWIR-to-SWF translator.  ... 
doi:10.1109/seaa.2013.13 dblp:conf/euromicro/Janetschek0P13 fatcat:cfo6xwcpcrdbphg2gvtuk2gmxa

Comparison of Multiple Cloud Frameworks

Gregor von Laszewski, Javier Diaz, Fugang Wang, Geoffrey C. Fox
2012 2012 IEEE Fifth International Conference on Cloud Computing  
Users, developers, and administrators have to make a decision about which environment is best suited for them.  ...  One of the important features that FutureGrid provides is not only the ability to compare between IaaS frameworks, but also to compare them in regards to bare-metal and traditional highperformance computing  ...  ACKNOWLEDGEMENTS We would like to acknowledge the rest of the FG team for its support in the preparation and execution of these tests.  ... 
doi:10.1109/cloud.2012.104 dblp:conf/IEEEcloud/LaszewskiDWF12 fatcat:bf46df5igjdllc64i2ml6f3ria

Architecting Cloud Workflow: Theory and Practice

Yong Zhao, Youfu Li, Ioan Raicu, Shiyong Lu, Xuan Zhang
2014 2014 IEEE International Conference on Computer and Information Technology  
The data scale, science analysis and processing complexity in scientific community are growing exponentially in the "big data" era.  ...  Cloud computing paradigm has been widely adopted to provide unprecedented scalability and resources on demand, while scientific workflow management systems (SWFMSs) have been proven essential to scientific  ...  ACKNOWLEGMENT This paper is supported by the National Science Foundation of China No. 61034005 and No. 61272528.  ... 
doi:10.1109/cit.2014.81 dblp:conf/IEEEcit/ZhaoLRLZ14 fatcat:4idyjk4rwfc7rbn2ynmv2avfiu

Resource Provisioning for Scientific Workflow Applications using Aws Cloud

2020 International Journal of Engineering and Advanced Technology  
The role of quality and service performance is crucial aspects in application execution Scientific workflow based applications are both compute and data intensive.  ...  In recent years cloud services are much popular for hosting the applications.  ...  G.Juve, Mats Rynge, Ewa Deelman [2] described their work on FutureGrids and Amazon EC2 cloud providers which reveals advantages and disadvantages of infrastructures usage for application deployment.  ... 
doi:10.35940/ijeat.b4502.029320 fatcat:6635pnpdnnh7fbthn4yews53jy
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