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

2013 ◽  
Vol 15 (4) ◽  
pp. 20-29 ◽  
Author(s):  
Gideon Juve ◽  
Mats Rynge ◽  
Ewa Deelman ◽  
Jens-S. Vockler ◽  
G. Bruce Berriman
Keyword(s):  
Open Science ◽  
Scientific Workflows ◽  
Amazon Ec2 ◽  
Open Science Grid

Molecular Structure Determination on the Grid

2012 ◽  
pp. 862-880
Author(s):  
Russ Miller ◽  
Charles Weeks
Keyword(s):  
Molecular Structure ◽  
New York ◽  
Data Storage ◽  
New York State ◽  
Open Science ◽  
Data Sets ◽  
Distributed Resources ◽  
Data Repositories ◽  
Computational Resources ◽  
Open Science Grid

Grids represent an emerging technology that allows geographically- and organizationally-distributed resources (e.g., computer systems, data repositories, sensors, imaging systems, and so forth) to be linked in a fashion that is transparent to the user. The New York State Grid (NYS Grid) is an integrated computational and data grid that provides access to a wide variety of resources to users from around the world. NYS Grid can be accessed via a Web portal, where the users have access to their data sets and applications, but do not need to be made aware of the details of the data storage or computational devices that are specifically employed in solving their problems. Grid-enabled versions of the SnB and BnP programs, which implement the Shake-and-Bake method of molecular structure (SnB) and substructure (BnP) determination, respectively, have been deployed on NYS Grid. Further, through the Grid Portal, SnB has been run simultaneously on all computational resources on NYS Grid as well as on more than 1100 of the over 3000 processors available through the Open Science Grid.

scholarly journals DZero data-intensive computing on the Open Science Grid

2008 ◽  
Vol 119 (6) ◽  
pp. 062001 ◽  
Author(s):  
B Abbott ◽  
A Baranovski ◽  
M Diesburg ◽  
G Garzoglio ◽  
T Kurca ◽  
...  
Keyword(s):  
Open Science ◽  
Data Intensive Computing ◽  
Data Intensive ◽  
Open Science Grid

scholarly journals Analysis of the current use, benefit, and value of the Open Science Grid

2010 ◽  
Vol 219 (6) ◽  
pp. 062024 ◽  
Author(s):  
R Pordes ◽  
the Open Science Grid Executive Board ◽  
J Weichel
Keyword(s):  
Open Science ◽  
Open Science Grid

scholarly journals Public storage for the Open Science Grid

2014 ◽  
Vol 513 (3) ◽  
pp. 032057 ◽  
Author(s):  
T Levshina ◽  
A Guru
Keyword(s):  
Open Science ◽  
Open Science Grid

Open science grid: Building and sustaining general cyberinfrastructure using a collaborative approach

First Monday ◽  
2007 ◽  
Author(s):  
Paul Avery
Keyword(s):  
Nuclear Physics ◽  
Large Scale ◽  
Applied Mathematics ◽  
Open Science ◽  
Size Number ◽  
Computer Scientists ◽  
International Boundaries ◽  
Technology Specialists ◽  
And Storage ◽  
Open Science Grid

I describe in this paper the creation and operation of the Open Science Grid (OSG [1]), a distributed shared cyberinfrastructure driven by the milestones of a diverse group of research communities. The effort is fundamentally collaborative, with domain scientists, computer scientists and technology specialists and providers from more than 70 U.S. universities, national laboratories and organizations providing resources, tools and expertise. The evolving OSG facility provides computing and storage resources for particle and nuclear physics, gravitational wave experiments, digital astronomy, molecular genomics, nanoscience and applied mathematics. The OSG consortium also partners with campus and regional grids, large projects such as TeraGrid [2], Earth System Grid [3], Enabling Grids for E–sciencE (EGEE [4]) in Europe and related efforts in South America and Asia to facilitate interoperability across national and international boundaries. OSG’s experience broadly illustrates the breadth and scale of effort that a diverse, evolving collaboration must undertake in building and sustaining large–scale cyberinfrastructure serving multiple communities. Scalability — in resource size, number of member organizations and application diversity — remains a central concern. As a result, many interesting [5] challenges continue to emerge and their resolution requires engaged partners and creative adjustments.

An Evaluation of the Cost and Performance of Scientific Workflows on Amazon EC2

2012 ◽  
Vol 10 (1) ◽  
pp. 5-21 ◽  
Author(s):  
Gideon Juve ◽  
Ewa Deelman ◽  
G. Bruce Berriman ◽  
Benjamin P. Berman ◽  
Philip Maechling
Keyword(s):  
Scientific Workflows ◽  
Amazon Ec2 ◽  
And Performance ◽  
The Cost
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