October 23, 2012
MADRID, Oct. 23 — The OpenNebula Project is proud to announce the thirteen stable release of its fully open-source, widely-used cloud platform for managing data center's virtual infrastructures. OpenNebula 3.8 (Twin Jet) brings valuable contributions from many industry members of its large user community, including new innovative features developed by China Mobile and Research in Motion for their flagship deployments serving millions of users.
Twin Jet enhances its AWS and OCCI API implementations and the integration with VMware and KVM, which are the most widely used hypervisors in OpenNebula clouds. OpenNebula 3.8 additionally seamlessly integrates with the new virtual router in the OpenNebula marketplace and brings new features in the Sunstone and Self-service portals. An important effort has been made to distribute the software with the same packaging formats as those used by the main Linux distributions.
"The tight integration with VMware and the support for virtual data centers provision, cloudbursting and clustering make OpenNebula the most powerful open-source alternative to proprietary cloud management platforms", said Ruben S. Montero, Chief Architect of OpenNebula. "This release incorporates innovative features from the flagship cloud deployments of many industry and research leaders that contribute to OpenNebula”, said Ignacio M. Llorente, Director of OpenNebula.
OpenNebula delivers the most feature-rich, customizable and open solution to build enterprise virtualized data centers and private clouds on Xen, KVM and VMware. 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 centers like CERN, FermiLab and ESA; supercomputing centers like SARA and NCHC; telecom operators like RIM, China Mobile and Telefonica O2; and integrators like Logica, Engineering and KPMG.
C12G Labs, the company behind the project, delivers a commercial distribution of OpenNebula for organizations looking for a certified, long-term supported platform
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.
The private industry least likely to adopt public cloud services for data storage are financial institutions. Holding the most sensitive and heavily-regulated of data types, personal financial information, banks and similar institutions are mostly moving towards private cloud services – and doing so at great cost.
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.
May 10, 2013 |
Australian visual effects company, Animal Logic, is considering a move to the public cloud.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 08, 2013 |
For engineers looking to leverage high-performance computing, the accessibility of a cloud-based approach is a powerful draw, but there are costs that may not be readily apparent.
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.