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Big Data-Aware Terabits Networking


 
Synopsis
       


The synopsis for this grant opportunity is detailed below, following this paragraph. This synopsis contains all of the updates to this document that have been posted as of 03/19/2013 . If updates have been made to the opportunity synopsis, update information is provided below the synopsis.

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Description of Modification

Changed to correct application due date to April 19, 2013

Document Type: Modification to Previous  Grants Notice
Funding Opportunity Number: DE-FOA-0000883
Opportunity Category: Discretionary
Posted Date: Mar 19, 2013
Creation Date: Mar 27, 2013
Original Closing Date for Applications: Apr 12, 2013   
Current Closing Date for Applications: Apr 19, 2013   
Archive Date: Jul 19, 2013
Funding Instrument Type: Cooperative Agreement
Category of Funding Activity: Science and Technology and other Research and Development
Category Explanation:
Expected Number of Awards:
Estimated Total Program Funding: $0
Award Ceiling: $0
Award Floor: $0
CFDA Number(s): 81.049  --  Office of Science Financial Assistance Program
Cost Sharing or Matching Requirement: No

Eligible Applicants

Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"
 

Additional Information on Eligibility:

All types of applicants are eligible to apply, except Federally Funded Research and Development Center (FFRDC) Contractors, and nonprofit organizations described in section 501(c)(4) of the Internal Revenue Code of 1986 that engaged in lobbying activities after December 31, 1995. Individuals with the skills, knowledge, and resources necessary to carry out the proposed research as a Program Director/Principal Investigator are invited to work with their organizations to develop an application for assistance. Individuals from underrepresented groups as well as individuals with disabilities are always encouraged to apply for assistance.

Agency Name

Office of Science

Description

The Office of Advanced Scientific Computing Research (ASCR) in the Office of Science (SC) at the U.S. Department of Energy (DOE) hereby announces its interest in receiving grant applications to address the networking challenges of scientific Big Data across the Office of Science. DOE?s scientific instruments, observatories, and supercomputers are increasingly generating complex heterogeneous massive data sets that are revolutionizing the conduct of science and overwhelming scientific computing and network infrastructures. In particular, these massive data sets are introducing distributed data management challenges that cannot be adequately addressed with current state-of-the-art Internet-based networking and commercial storage system management technologies. This FOA has two main objectives: 1) to conduct research on terabit data-aware network technologies and storage system management to address scientific Big Data infrastructure challenges, a nd 2) to explore innovative theoretical frameworks, network-aware data management concepts, and storage system performance optimization models that will improve our understanding of how complex heterogeneous massive data sets should be organized, stored, and shared. A companion Program Announcement to DOE Laboratories (LAB 13-883) will be posted on the SC Grants and Contracts web site at: http://www.science.doe.gov/grants The full text of the Funding Opportunity Announcement (FOA) is located on FedConnect. Instructions for completing the Grant Application Package are contained in the full text of the FOA which can be obtained at: https://www.fedconnect.net/FedConnect/?doc=DE-FOA-0000883&agency=DOE.

Link to Additional Information

FedConnect

If you have difficulty accessing the full announcement electronically, please contact:

Thomas D. Ndousse-Fetter, Technical-Scientific Program Contact, 301-903-9960
tndousse@er.doe.gov
tndousse@er.doe.gov

Synopsis Modification History

The following files represent the modifications to this synopsis with the changes noted within the documents. The list of files is arranged from newest to oldest with the newest file representing the current synopsis. Changed sections from the previous document are shown in a light grey background.

File Name Date
Original Synopsis Mar 19, 2013