Laboratory for Large Data Research

Metadata Updated: March 8, 2017

FUNCTION: The Laboratory for Large Data Research (LDR) addresses a critical need to rapidly prototype shared, unified access to large amounts of data across both the local and the wide area. LDR focuses on developing a global [HTML_REMOVED]large data[HTML_REMOVED] (LD) cloud along with communications pipes to rapidly access and produce knowledge from the best information available fused from federated, distributed, real-time sensors and archived digital media assets. The LDR utilizes open source agent technology to ingest, store, access, process, fuse, display, and distribute traceback and reachback information over unconstrained lightpaths in real time between producers and consumers without regard to location.DESCRIPTION: The LDR uses a proven [HTML_REMOVED] rapid prototype[HTML_REMOVED] process model to deploy, stress, debug, and quickly transition data-driven information technology to meet the global operational needs of DoD and the intelligence community. In virtually every data processing domain today, the volumes of data being captured, manipulated, stored, transported, and displayed are increasing superlinearly. Global access to timely information is a key enabler. The LDR goal is to provide coherent virtualization of enterprise services over terabit flows by developing advanced applications and prototypes that cannot be sustained by traditional technology infrastructures. Warehouse-sized facilities and workloads are likely to be common for near-real-time access of operational data across the global AOR, necessitating InfiniBand enable grids, clusters, farms, swarms, manycore processors, 100G networks, exabyte federated and distributed online data storage clouds, and object-based global file systems.INSTRUMENTATION: The LDR is equipped with leading-edge, high-performance, shared and distributed memory processing assets, application-specific servers, massive storage arrays, and visualization systems interconnected seamlessly. Multicore supercomputers and manycore FPGA-enhanced systems and software capture complete transactional or streamed performance and net-ops information, and monitor information assurance end-to-end on a per flow basis. The Session Initiation Protocol (SIP) provides a LDR control plane for authorization and resource access, management of peer-to-peer transactions, end-to-end quality of service guarantees, multi-level precedence and pre-emption, and protocol stack optimization in support of open source service-oriented architectures.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date March 8, 2017
Metadata Updated Date March 8, 2017

Metadata Source

Harvested from Federal Laboratory Consortium Data.json

Additional Metadata

Resource Type Dataset
Metadata Created Date March 8, 2017
Metadata Updated Date March 8, 2017
Publisher Federal Laboratory Consortium
Unique Identifier C1CACF16-D4BF-4B47-B37A-34149EC97B0A
Maintainer
Maintainer Email
None
Public Access Level public
Address1 4555 Overlook Avenue S.W.
Address2
Address3
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Expertise
Fax
Flcbusinessurl https://flcbusiness.federallabs.org/#/laboratory/3213
Harvest Object Id c46ad2ed-3ec7-4514-bb18-6284ef4a3e0e
Harvest Source Id 5859cfed-553c-48de-a478-b67b5225f6fc
Harvest Source Title Federal Laboratory Consortium Data.json
Mission
Owneroperatorcode
Phone 202-767-3083
Postalcode 20375
Repphone (202) 404-3132
Sizesqft 0
Source Datajson Identifier True
Source Hash 813bb9a36a8476991c6d8ed06612660570ba4df1
Source Schema Version 1.1
Statecode DC
T2Website

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