January 29, 2013
MADRID, Jan. 29 – Continuing its strong commitment to open-source and to the OpenNebula community, the OpenNebula Project is pleased to announce the open-source release of OpenNebulaApps, a suite of tools for users and administrators of OpenNebula clouds to simplify and optimize multi-tiered application management. The new software has been released under Apache license and will be incorporated into the main distribution of OpenNebula. After the announcement made two weeks ago about the public distribution of OpenNebula Maintenance Updates and Service Packs, the incorporation of this innovative functionality consolidates OpenNebula's position as the most advanced, enterprise-ready open-source cloud management platform.
OpenNebulaApps provides a service management layer on top of OpenNebula infrastructure management capabilities by configuring the stack in the virtual machines, managing multi-tiered services, and building a private market to distribute appliances across several OpenNebula instances. Because Cloud applications consist of stacks of software components, OpenNebulaApps contributes to significantly reduce the time needed to build, distribute, and run new applications. The suite includes:
This new enterprise functionality, along with the existing production-ready processes for software release, Q&A and upgrade, and the availability of several support options directly from developers, reduces cost and complexity of building and operating OpenNebula clouds and ensures its long term stability and performance.
OpenNebula delivers the most feature-rich, customizable and open solution to build enterprise clouds and virtualized data centers. OpenNebula is an active project with a very large user base, with more than 5,000 downloads per month and thousands of deployments that include leading research and supercomputing centers like CERN, FermiLab, NASA, ESA and SARA; and industry leaders like RIM, China Mobile, Dell, Cisco, Akamai and Telefonica O2. All company and product names mentioned are used only for identification purposes and may be trademarks or registered trademarks of their respective companies.
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.