November 15, 2004
Britestream Networks (formerly Layer N Networks) and Q&A Research announced the findings of a research project designed to understand the level and types of security measures organizations are deploying and whether IT managers believe they are vulnerable. The national survey was conducted in October with 300 IT professionals in companies with annual revenues of more than $30 million that are highly and somewhat involved with their company's network security.
A key finding was that while significant numbers (76 percent) of respondents believe their network is more secure than a year ago, 81 percent report that attacks are increasing and an unexpected one in five admitted that a hacker had gained unauthorized access to their company's network. In addition, the percentage of IT budgets set aside for network security is not expected to increase next year and in fact, respondents said their biggest obstacle to making the company's network safer is "securing budget for security solutions."
"We were surprised that many IT managers are feeling fairly secure," said Warren Pino, CEO of Q&A Research. "Because they made investments in network security last year, two-thirds of respondents feel that their network is more secure than their competitors. But at the same time, they reported a huge increase in attacks and a significant number of breaches. Another irony was that even with increased regulations regarding security compliance and senior management support, budgets for security have not increased."
Additional research findings included:
"Our intent in sharing the results of this research with the industry is to help businesses understand how vulnerable they are to potential attacks and how to prepare for the increase in attacks," said Bob Weinschenk, president and CEO of Britestream. "In this market, although we would expect to see budgets increasing, we certainly got the impression that companies are looking for ways to painlessly increase the security of their networks and we are encouraged that this is top-of-mind with CEOs."
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.