May 16, 2005
Epok Inc. introduced the new version of its Trusted Data Exchange (TDX)
platform. With TDX version 4.1, Epok broadens the scope of its identity
rights management platform to support BEA WebLogic Platform 8.1 and
BEA WebLogic WorkShop Controls, Microsoft's Visual Studio, Organization
for the Advancement of Structured Information Standards -- Extensible
Resource Identifier (OASIS XRI) 2.0 and J2EE.
"Identity management is going through a period of phenomenal growth
due to the adoption of Services Oriented Architectures (SOA) and Web
services, pressures to reduce IT administrative overhead, concerns over
expanding security risks and issues surrounding regulatory compliance,"
said Ayman Hariri, president and CEO of Epok. "At the same time,
today's business climate demands increased interaction both internally
and between external organizations, including the sharing of
mission-critical information assets. Our identity rights management
platform can help enable companies to manage large networks of complex
business relationships without increasing administrative overhead,
while reducing security gaps and retaining local control of resources."
The Epok TDX platform is designed to extend, leverage and bridge
investments in current identity management environments, helping to
enable both identity federation and policy federation to be managed
within a common infrastructure. The TDX platform is also designed to
provide a policy framework for securing internal and external SOA
environments. By providing data-level control and accessing rights
between identities, organizations can now for the first time enable
disparate policy management solutions to interoperate, thereby taking
trust beyond traditional boundaries.
"We're pleased that Epok is participating in the BEA Partner Program
and has taken the important step of validating the Epok TDX with BEA
WebLogic Enterprise Platform," said Larry Aronovitz, director of the
Worldwide Partner Program at BEA Systems. "BEA's validation program is
designed to accelerate adoption of partners' solutions and increase
market opportunities by assuring mutual customers that these partners'
technology solutions integrate with the BEA WebLogic Enterprise
TDX 4.1 Key Enhancements
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
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.