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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.
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).
The Xeon Phi coprocessor might be the new kid on the high performance block, but out of all first-rate kickers of the Intel tires, the Texas Advanced Computing Center (TACC) got the first real jab with its new top ten Stampede system.We talk with the center's Karl Schultz about the challenges of programming for Phi--but more specifically, the optimization...
Although Horst Simon was named Deputy Director of Lawrence Berkeley National Laboratory, he maintains his strong ties to the scientific computing community as an editor of the TOP500 list and as an invited speaker at conferences.
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 15, 2013 |
Supercomputers at the Department of Energy’s National Energy Research Scientific Computing Center (NERSC) have worked on important computational problems such as collapse of the atomic state, the optimization of chemical catalysts, and now modeling popping bubbles.
May 10, 2013 |
Program provides cash awards up to $10,000 for the best open-source end-user applications deployed on 100G network.
May 09, 2013 |
The Japanese government has revealed its plans to best its previous K Computer efforts with what they hope will be the first exascale system...
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.
04/15/2013 | Bull | “50% of HPC users say their largest jobs scale to 120 cores or less.” How about yours? Are your codes ready to take advantage of today’s and tomorrow’s ultra-parallel HPC systems? Download this White Paper by Analysts Intersect360 Research to see what Bull and Intel’s Center for Excellence in Parallel Programming can do for your codes.
In this demonstration of SGI DMF ZeroWatt disk solution, Dr. Eng Lim Goh, SGI CTO, discusses a function of SGI DMF software to reduce costs and power consumption in an exascale (Big Data) storage datacenter.
The Cray CS300-AC cluster supercomputer offers energy efficient, air-cooled design based on modular, industry-standard platforms featuring the latest processor and network technologies and a wide range of datacenter cooling requirements.