1 / 10

The Open Science Data Cloud

The Open Science Data Cloud, a U.S.-based 501(c)(3) not-for-profit, aims to enhance scientific research by managing cloud computing infrastructure. It provides support through the Open Science Data Cloud and Open Cloud Testbed, offering standards-based software implementations. By simplifying data management and sharing, particularly for big data, the initiative opens new avenues for interdisciplinary research. Key challenges include developing scalable infrastructure and software tools. Future steps include initiating pilot projects, creating data hubs, and establishing large-scale services to revolutionize data utilization in science.

kolton
Download Presentation

The Open Science Data Cloud

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A 501(c)(3) not-for-profit operating clouds for science. The Open Science Data Cloud April 4, 2012 Robert L. Grossman University of Chicagoand Open Cloud Consortium

  2. www.opencloudconsortium.org • U.S based not-for-profit corporation. • Manages cloud computing infrastructure to support scientific research: Open Science Data Cloud. • Manages cloud computing testbeds: Open Cloud Testbed. • Develops reference implementations of standards based software for clouds

  3. Number Individual scientists & small projects 1000’s 100’s Community based science via Science as a Service 10’s very large projects Data Size Medium to Large Small Very Large Public infrastructure Dedicated infrastructure Shared community infrastructure

  4. Varieties of Clouds • Types of clouds • Utility Clouds (e.g. Amazon) • Data Clouds (e.g. Hadoop) • Storage Clouds (e.g. Dropbox) • HPC Clouds • Types of cloud service providers (CSP) • Commercial (e.g. Amazon) • Science CSP • Health related (CSP) (sign BAA) • Defense related (CSP)

  5. I have built a VM on AWS. My cloud app scales out. Boutique CSP with multiple facilities & intercloud services. Pilot projects OCC AWS, Google, FB I have ported an app to AWS. It runs on a single VM. My cloud app scales out & is fault tolerant. I’m a 2MW boutique CSP.

  6. Science Clouds

  7. New Opportunities • Simplify the management, analysis and sharing of data, especially big data for researchers. • New opportunities for discovery by integrating data at scale from within a discipline and across disciplines. • By thinking of a data center as an instrument, you have a new instrument for creating a new science of data.

  8. Key Challenges • Building the required infrastructure at the required scale. • Developing new software tools for exploring and integrating data at scale. • Brining together (either physically or virtually) enough data to change the way we make discoveries. • Security, compliance & payments.

  9. Next Steps • Start some pilot projects. • Create some data hubs. • Create some large scale services between the data hubs. • Create some open source blue prints for container based facilities.

  10. Questions? info@opencloudconsortium.org robert.grossman@uchicago.edu

More Related