December 11, 2006
Azul Systems Inc. and BEA Systems
Inc. announced a multi-year partnership extending the two companies'
existing partnership to include certification and licensing for all BEA
WebLogic products. The partnership is designed to deliver an industry
leading solution for joint customers to deploy large-scale,
enterprise-wide service-oriented architectures (SOAs) that can meet
rigorous service-level requirements.
Both companies are providers of and innovators in Java technologies. Combining a unified SOA platform designed for business transformation and optimization from BEA, with computing platforms for Java-based deployments from Azul, can help customers achieve the scalability and benefits from SOA, without the complexity of traditional scale out deployments.
"BEA has a long proven history of delivering innovation, architectural excellence and an unyielding standard of reliability, scalability and availability to customers," said Wai Wong, executive vice president, products, BEA Systems. "We believe SOA is a fundamental approach to business, enterprise architecture and our platform itself. Working with partners like Azul can help customers achieve higher profitability and consistently meet their most rigorous service level agreements."
"For enterprise SOAs to deliver on the promise of improved efficiency and manageability, they must be designed to scale seamlessly and help enable customers to capacity plan around services instead of applications," said Stephen DeWitt, president and chief executive officer of Azul Systems. "Azul Compute Appliances offer customers implementing SOA strategies a flexible infrastructure that can deliver the right amount of power at the right time, regardless of unpredictable workloads -- we simply have an efficient solution that is designed to enable the Java platform to run more consistently and with more reliability."
The terms of the agreement include joint testing, cross-certification, cross-licensing, co-marketing, and co-selling of the BEA WebLogic Server, and the term extension of the pre-existing licensing agreement already in place for Azul Compute Appliances has been extended.
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.