September 25, 2012
CHICAGO, Sept. 25 — The Open Cloud Consortium (OCC) has been providing cloud infrastructure for researchers with big data needs since 2009. The Open Cloud Consortium (OCC) is a 501(c)(3) not-for-profit supporting the scientific community by operating cloud infrastructure to support scientific, environmental, medical, and healthcare research.
The OCC manages and operates the Open Science Data Cloud (OSDC), which is a multi-petabyte distributed cloud-based infrastructure for managing, analyzing, integrating and sharing scientific data. Over the past four years of operations, the OSDC has developed the expertise to set up and operate open source science clouds over geographically distributed data centers connected with 10G high performance networks.
The OCC currently distributes approximately 1 PB of scientific data to interested users and plans in each of the next several years to roughly double the amount of data that it distributes.
Students and researchers affiliated with the University of California, Berkeley interested in big data will have access to the OCC’s Hadoop based OCC-Y cluster, available to select universities through a generous donation by Yahoo!.
For more information about joining the Open Cloud Consortium and membership roster, go to:http://opencloudconsortium.org/members/
For more information on getting an account on the Open Science Data Cloud, go to: http://www.opensciencedatacloud.org/
For more information contact firstname.lastname@example.org.
About the Open Cloud Consortium
The Open Cloud Consortium (OCC) is a not-for-profit organization that: supports the development of standards for cloud computing and frameworks for interoperating between clouds; develops benchmarks for cloud computing; supports reference implementations for cloud computing; manages a testbed for cloud computing called the Open Cloud Testbed; and, sponsors workshops and other events related to cloud computing. (www.opencloudconsortium.org)
Source: Open Cloud Consortium
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Large-scale, worldwide scientific initiatives rely on some cloud-based system to both coordinate efforts and manage computational efforts at peak times that cannot be contained within the combined in-house HPC resources. Last week at Google I/O, Brookhaven National Lab’s Sergey Panitkin discussed the role of the Google Compute Engine in providing computational support to ATLAS, a detector of high-energy particles at the Large Hadron Collider (LHC).
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