January 17, 2012
Feature-rich enterprise-class open-source software for comprehensive management of virtualized datacenters based on Xen, KVM and VMware
MADRID, Jan. 17 — The OpenNebula Project is proud to announce the release of a new stable version of its widely deployed open-source management platform for enterprise datacenter virtualization. OpenNebula 3.2 is the first stable distribution produced by OpenNebula's new release cycle aimed at faster delivery of new features and innovations to the community, based on their requirements and feedback, while also increasing technical quality.
"The most recent requirements of organizations building large scale production environments have been the driving force behind all our development and innovation efforts in OpenNebula 3.2," said Ignacio M. Llorente, director of the OpenNebula Project. "Most of these organzations are using OpenNebula as an enterprise-ready open-source alternative to proprietary cloud solutions."
OpenNebula 3.2 brings important benefits to cloud providers with a new easily-customizable self-service portal for cloud consumers, and builders with full support for VMware that now includes live migration, advanced contextualization and image management. The new release additionally includes important enhancements in networking and security.
"This new update of OpenNebula brings the highest levels of flexibility, stability, scalability and functionality for VMware-based data centers and clouds in the open-source domain," said Ruben S. Montero, chief architect of the OpenNebula Project. "While avoiding vendor lock-in, OpenNebula 3.2 provides an open management platform that compares to vCenter and vCloud, that can moreover be adapted to fit into your environment."
C12G Labs, the company behind the open-source project, delivers a commercial distribution of OpenNebula for business, government, or other organizations looking for a hardened, certified, supported cloud platform. OpenNebulaPro combines the rapid innovation of open-source with the stability and long-term production support of commercial software.
Being used by thousands of organizations worldwide, OpenNebula is the open-source industry standard for datacenter virtualization. OpenNebula is fully open-source software, released under the terms of the Apache license, with a community that, by many measures, has more than doubled each year since its creation in 2007. OpenNebula and C12G are trademarks of C12G Labs S.L. Other product or company names mentioned may be trademarks or trade names of their respective companies. More info: http://www.OpenNebula.org.
Source: DSA Research Group
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.