May 23, 2012
Last week, NASA revealed that it would no longer participate in OpenStack development. The news, which was reported in Datacenter Dynamics, comes nearly two years after the platform was officially announced.
The project began as both NASA and Rackspace were separately developing similar cloud architectures. When the groups were made aware of each other's efforts, they joined forces to develop a single open source platform.
Karen Petraska, service executive for computing services at NASA's CIO office made the official announcement at the Uptime Institute's Symposium. She pointed to the growing commercial adoption of OpenStack as the main driver for the change.
Spending resources on development of commercial technology solutions was not the government's role, Petraska explained after her presentation.
All government agencies are receiving pressure to cut expenses, forcing them to locate expendable projects. Instead of spending time and money developing a commercially available platform, NASA would rather become a consumer of the service. This strategy has also triggered the organization to stop development of Nebula. Nebula is an infrastructure that was created alongside the OpenStack and delivered cloud services to NASA.
Currently, the project is thriving as contributors are using the platform for their own purposes. AT&T, an OpenStack supporter, has used the platform to support their private cloud, which exists on three datacenters in the US. The project has also been incorporated into a number of commercial distributions. Both Dell and Rackspace are offering cloud services based on OpenStack.
Recently, Rackspace announced it would ramp up development of OpenStack in an effort to improve its offerings and gain more revenue. This came after the platform's latest version, named Essex, was released. The update was a result of contributions made from 200 developers and includes 150 new features.
Although the project is losing a founding member, the move is rather symbolic. Since its initial release, OpenStack has been supported by large industry players like Dell, HP, IBM, Yahoo!, Cisco and Microsoft. With all this help from the private sector, the platform no longer requires help from the government.
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.
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.