June 19, 2012
AUSTIN, Texas, June 19 — Caringo, the leading provider of object storage software, introduces three new products today making it the only object storage vendor to deliver a complete cloud storage software solution.
The new Elastic Content Protection, CloudScaler and Indexer products, along with the market-leading Object Storage Platform powered by CAStor, positions Caringo as the only vendor to offer a stack of software appliances that work together to provide cloud storage flexible enough to use for private or public clouds and seamlessly scalable from terabytes to petabytes. By providing the entire stack, Caringo is able to ensure high performance, simple management and interoperability between all components, significantly reducing the complexity associated with open source or cobbled together solutions.
"With the adoption of cloud technologies at an all-time high, the importance of developing interoperable solutions that make it easier for customers to implement into their computing environments is a key consideration," said Kevin Kluge, VP of Products at Citrix. "What Caringo has done is give organizations the ability to integrate their enterprise-grade object storage solution into any platform and when combined with Citrix CloudPlatform and Apache CloudStack improves time to market for service providers and larger enterprises."
Elastic Content Protection (ECP): Provides the storage industry’s most comprehensive data protection functionality that expands or contracts to meet any storage SLA, footprint or accessibility requirement regardless of capacity or file count.
"Caringo's Elastic Content Protection means that our mutual customers are able to gain even more efficient utilization of objects stored on our Ethernet SAN solutions," said Kevin Brown, CEO of Coraid. "This addition helps drive the continued shift from traditional enterprise architectures to cloud infrastructures with disruptive economics, high performance and extreme flexibility."
CloudScaler: Enables an organization to provide public or private cloud storage as a service. A software gateway appliance that extends the Object Storage Platform with secure multi-tenant features including authentication and authorization of access on a per-call basis, quotas, bandwidth and capacity metering and the ability to integrate into 3rd party billing systems.
Indexer: Provides robust insight and intelligence into data stored in the Object Storage Platform.
The addition of these three new products solidifies Caringo’s position as the industry leader in multi-tenant, cloud storage. Simple, powerful and efficient object storage that is like S3, but fast, safe and secure in your data center.
"Enterprise storage is at a crossroads," said Mark Goros, CEO at Caringo. "Traditional file-based storage was not designed for the massive capacities and ubiquitous access requirements that are now expected in every organization. Our complete cloud storage software solution enables any enterprise to optimize storage deployments securely in their data center with access from any platform. System administrators can now stand up a petabyte cluster in 30 minutes delivering elasticity to backend infrastructure in addition to front end usage."
Visit the Caringo website at http://www.caringo.com/how-to-buy.html or contact the company directly via e-mail at sales@caringo.com or call 512-782-4490.
About Caringo
Caringo software gives enterprises everything they need to deliver private cloud storage or cloud storage as a service. The solution combines efficient object storage technology with elastic content protection, intelligent and automatic distribution and centralized management under a global namespace on your choice of commodity hardware. The result is a secure and compliant unified pool of storage that can expand or contract capacity and object count to meet any operational or business requirements – all at cloud economics and secure in your datacenter.
-----
Source: Caringo
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.
Read more...
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).
Read more...
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.
Read more...
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.
Read more...
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.
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.