December 12, 2005
Mazu Networks, a
provider of behavior-based network security solutions, announced
that the State University of New York -- Stony Brook (SUNY-SB) selected
Mazu Profiler to improve its internal network security and gain
increased visibility for its complex campus network spanning 123
university buildings. Through Mazu Profiler, SUNY-SB gains the
intelligence needed to identify and patch network vulnerabilities,
detect and mitigate targeted attacks, eliminate risky activity as well
as rationally deploy existing and new security products.
"As an educational institution, it was critical for us to protect
the personal information of our more than 22,000 students while
maintaining an open network to uphold the lifeblood of any university
-- collaboration," said Richard Reeder, CIO of SUNY-SB. "Many security products on the market today would
allow us to lock down the network and filter potentially malicious
traffic, but we ran the risk of obstructing legitimate communications
among students or disrupting normal network operations. The negative
impact on our ability to allow students to freely communicate came at
too high of a cost. Conversely, Mazu Profiler gives us an increased
level of visibility and intelligence that allows us to methodically and
rationally respond to legitimate threats and operate our network more
securely."
Network environments within universities pose unique challenges for
security teams. Thousands of students connect to the university network
every day, but there is no easy way to know if their PCs are secure.
Students using school networks as their personal ISP further complicate
security defenses. This lack of control places university security
teams at a severe disadvantage. SUNY-SB gains total control over its
networks through Mazu Profiler, which enables security teams to
identify unauthorized applications and rogue services, maintain tighter
firewall policies as well as monitor how network assets are used and by
whom. Mazu Profiler also allows SUNY-SB to detect and respond to worms,
Trojans, targeted or credentialed attacks and other dangerous cyber
threats.
"Being able to provide an environment that fosters the open sharing
of information is the foundation of any academic institution. The idea
of limiting access is in direct contrast with this fundamental
principal of a collegiate setting," said Paul Brady, chief executive
officer of Mazu Networks Inc. "However, Mazu Profiler addresses the
specific needs of an academe, by allowing SUNY-SB to effectively
protect against security threats, without impacting accessibility,
student communications or network availability. The technology
therefore does not inhibit the sharing of information, but rather
recognizes atypical traffic and arms security teams with the
information they need to address the issue intelligently."
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.
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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).
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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.
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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.
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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.
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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.