November 27, 2012
SAN FRANCISCO, CA, Nov. 27 - Riverbed Technology, the performance company, today announced that Riverbed and Amazon Web Services (AWS) have collaborated to deliver cloud performance and data protection solutions to enterprise customers. Riverbed offers a portfolio of performance solutions for the public cloud, including wide area network (WAN) optimization, cloud storage gateways, application delivery and web application firewall security. The portfolio of Riverbed solutions provides enterprise customers innovative solutions for protection of mission critical data and access to applications and data deployed in the public cloud.
"The Riverbed performance solutions are addressing enterprise customer needs as they embark on public cloud deployments in Amazon EC2 and S3. Our solutions enable enterprises that have deployed applications in the public cloud to provide a consistent user experience and increase the recoverability of their data, while reducing costs of IT infrastructure."
- Venugopal Pai, vice president, Global Alliances and Business Development
"ESG research indicates that both enterprise and mid-market organizations are increasing their use of public clouds like Amazon EC2 and S3. However, to ensure these cloud services meet or exceed SLAs, organizations will require technologies to address core performance challenges associated with distance and latency. Partnerships like the one between Amazon and Riverbed serve as an example of how organizations can mitigate the risk from these challenges and enable fast, reliable, secure, and simple access to the public cloud."
- Bob Laliberte, senior analyst, Enterprise Strategy Group
The Stingray Traffic Manager software with support for Amazon's Virtual Private Cloud (VPC) is expected to be generally be available in Q4 2012.
Riverbed delivers performance for the globally connected enterprise. With Riverbed, enterprises can successfully and intelligently implement strategic initiatives such as virtualization, consolidation, cloud computing, and disaster recovery without fear of compromising performance. By giving enterprises the platform they need to understand, optimize and consolidate their IT, Riverbed helps enterprises to build a fast, fluid and dynamic IT architecture that aligns with the business needs of the organization.
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.