November 06, 2012
SAN FRANCISCO, CA, Nov. 6 - Riverbed Technology, the performance company, announced today that the Riverbed Stingray product family has been positioned by Gartner in the Visionary quadrant of the 2012 "Magic Quadrant for Application Delivery Controllers (ADC)" report authored by Joe Skorupa, Neil Rickard, and Bjarne Munch and published October 30, 2012. The entire report can be viewed here.
According to the report, "The application delivery controller has evolved into a key component of the data center architecture, and enterprises should evaluate ADCs based on how they integrate with this architecture and support more-advanced features, such as user and traffic control and monitoring."
The continued evolution of the datacenter architecture from a physical to a virtual and cloud environment requires enterprises to deploy ADCs that are more flexible, dynamic, and application-aware than ever before. Riverbed Stingray is designed to be deployed seamlessly across all IT architectures, including physical, virtual, cloud, software-defined, and hybrid data centers. The solution's key differentiators are its flexible software and virtual form factors, the custom scripting capability that provides organizations with granular control over their applications, and advanced features such as web content optimization (WCO) and web application firewall security capabilities.
"Joyent has innovated a unique cloud infrastructure platform, built from the ground up to address the new performance, availability and security requirements of today's real-time web and mobile applications," said Jason Hoffman, Founder and CTO at Joyent. "Our strategic decision to work with Riverbed is based on the company's experience in managing application performance across several deployment scenarios coupled with the fact that they are one of the only companies offering a software ADC product."
"Riverbed has a long-term vision of optimizing application performance in any environment," said Apurva Davé, vice president of products and marketing, Stingray business unit, Riverbed. "The way users access applications and how datacenters are defined to support applications is a shifting landscape. We designed the Stingray products to provide performance, scale, security and control into the new world of private and public clouds."
About the Magic Quadrant
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
About Riverbed
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.
-----
Source: Riverbed
Researchers from the Suddhananda Engineering and Research Centre in Bhubaneswar, India developed a job scheduling system, which they call Service Level Agreement (SLA) scheduling, that is meant to achieve acceptable methods of resource provisioning similar to that of potential in-house systems. They combined that with an on-demand resource provisioner to ensure utilization optimization of virtual machines.
Read more...
Experimental scientific HPC applications are continually being moved to the cloud, as covered here in several capacities over the last couple of weeks. Included in that rundown, Co-founder and CEO of CloudSigma Robert Jenkins penned an article for HPC in the Cloud where he discussed the emergence of cloud technologies to supplement research capabilities of big scientific initiatives like CERN and ESA (the European Space Agency)...
Read more...
When considering moving excess or experimental HPC applications to a cloud environment, there will always be obstacles. Were that not the case, the cost effectiveness of cloud-based HPC would rule the high performance landscape. Jonathan Stewart Ward and Adam Barker of the University of St. Andrews produced an intriguing report on the state of cloud computing, paying a significant amount of attention to the problems facing cloud computing.
Read more...
Jun 19, 2013 |
Ruan Pethiyagoda, Cameron Boehmer, John S. Dvorak, and Tim Sze, trained at San Francisco’s Hack Reactor, an institute designed for intense fast paced learning of programming, put together a program based on the N-Queens algorithm designed by the University of Cambridge’s Martin Richards, and modified it to run in parallel across multiple machines.
Read more...
Jun 17, 2013 |
With that in mind, Datapipe hopes to establish themselves as a green-savvy HPC cloud provider with their recently announced Stratosphere platform. Datapipe markets Stratosphere as a green HPC cloud service and in doing so partnering with Verne Global and their Icelandic datacenter, which is known for its propensity in green computing.
Read more...
Jun 12, 2013 |
Cloud computing is gaining ground in utilization by mid-sized institutions who are looking to expand their experimental high performance computing resources. As such, IBM released what they call Redbooks, in part to assist institutions’ movement of high performance computing applications to the cloud.
Read more...
Jun 06, 2013 |
The San Diego Supercomputer Center launched a public cloud system for universities in the area designed specifically to run on commodity hardware with high performance solid-state drives. The center, which currently holds 5.5 PB of raw storage, is open to educational and research users in the University of California.
Read more...
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.