December 13, 2004
Sarvega Inc has been selected by the State of Wisconsin Department of Justice (DOJ) for its eTIME (Electronic Transaction Information for Management of Enforcement) project. The Wisconsin DOJ's innovative program will leverage internet resources, existing systems, and the new US Department of Justice Global Justice XML Data Model (Global JXDM) to provide the cost-effective exchange of justice information across local, state and federal agencies.
"States are faced with a tremendous challenge -- providing the real-time exchange of justice information in a secure, cost-effective manner across multiple local, state, and federal systems" said Christopher Darby, Sarvega's president and CEO. "This selection underscores the ability of Sarvega's XML Guardian Gateway to help clients like Wisconsin's DOJ exchange important information while addressing their stringent XML security and performance requirements. We are pleased to be part of this innovative program."
The Wisconsin DOJ eTIME system facilitates the accessing of information from various sources, including federal and local criminal records, automotive records, and security alerts. eTIME uses the latest Internet standards (including XML/XSL) and is accessible from any browser.
The Sarvega XML Guardian Gateway will provide high performance XML firewall security for the eTIME project including XML content level authentication, authorization, and auditing: as well as map state data into the Federal Global JXDM XML formats with secure, on-board logging for digital forensics and hardened appliance self-security.
The Sarvega XML Guardian Security Gateway is a high performance XML Web Services security solution built from the ground-up with a "Security DNA" to provide complete standards-compliant Web Services security and sophisticated XML intrusion protection capability to mission-critical XML Web Services deployments. The XML Guardian Security Gateway provides complete AAA trust assurance, message integrity and confidentiality with on-board secure digital forensics.
The ever-growing complexity of scientific and engineering problems continues to pose new computational challenges. Thus, we present a novel federation model that enables end-users with the ability to aggregate heterogeneous resource scale problems. The feasibility of this federation model has been proven, in the context of the UberCloud HPC Experiment, by gathering the most comprehensive information to date on the effects of pillars on microfluid channel flow.
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).
Frank Ding, engineering analysis & technical computing manager at Simpson Strong-Tie, discussed the advantages of utilizing the cloud for occasional scientific computing, identified the obstacles to doing so, and proposed workarounds to some of those obstacles.
May 23, 2013 |
The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
May 16, 2013 |
When it comes to cloud, long distances mean unacceptably high latencies. Researchers from the University of Bonn in Germany examined those latency issues of doing CFD modeling in the cloud by utilizing a common CFD and its utilization in HPC instance types including both CPU and GPU cores of Amazon EC2.
05/10/2013 | Cleversafe, Cray, DDN, NetApp, & Panasas | From Wall Street to Hollywood, drug discovery to homeland security, companies and organizations of all sizes and stripes are coming face to face with the challenges – and opportunities – afforded by Big Data. Before anyone can utilize these extraordinary data repositories, however, they must first harness and manage their data stores, and do so utilizing technologies that underscore affordability, security, and scalability.
04/02/2012 | AMD | Developers today are just beginning to explore the potential of heterogeneous computing, but the potential for this new paradigm is huge. This brief article reviews how the technology might impact a range of application development areas, including client experiences and cloud-based data management. As platforms like OpenCL continue to evolve, the benefits of heterogeneous computing will become even more accessible. Use this quick article to jump-start your own thinking on heterogeneous computing.