November 15, 2004
Jibe Networks Inc, a provider of secure XML-services acceleration technology, announced the launch of the public beta program for its new SX appliance.
As more enterprises migrate to XML and embrace Web Services, they inevitably encounter problems common to both these initiatives: application performance and security. These issues become particularly acute when XML is used to distribute application functionality across a wide area network (WAN). However, with the introduction of Jibe SX, these problems can be easily addressed with a single appliance that not only takes the place of multiple point solutions, but offers functionality not currently available in any product.
"We are very excited about bringing the SX product to market and have engaged with more than 100 F-1000 companies, many of whom are early adopters of XML. The reaction of these companies to the SX value proposition has been overwhelmingly positive " said Dan Decasper, Jibe Network's CEO. "In fact, several F-500 companies have agreed to join our Pathfinder program and help us fine-tune the SX feature set".
Decasper also noted that the Pathfinder companies were pleased to know that the Jibe SX product is built from a foundation of prior Jibe products that have been in development for almost four years. "The fact that we started with a highly stable and production-proven code base has given us a substantial advantage and enabled us to bring this product to market long before our inevitable competition."
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.
In this week's hand-picked assortment, researchers explore the path to more energy-efficient cloud datacenters, investigate new frameworks and runtime environments that are compatible with Windows Azure, and design a uniﬁed programming model for diverse data-intensive cloud computing paradigms.
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.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.