April 10, 2012
Responding to key user challenges faced by member organizations, the Open Data Center Alliance (ODCA) has released five new usage models on cloud security and infrastructure, as well as a document on identity management in the cloud. In line with the ODCA's vision, the usage models help to define the IT requirements for open, interoperable cloud computing solutions.
According to the Alliance:
Four of the usage models and an overview document target security, a leading concern for cloud adoption. The security usage models will drive interoperability between identity management and access management systems that will allow users to utilize resources in the cloud as if they were located within the organization. The fifth usage model focuses on long distance virtual machine migration which provides information about enterprises' expectations for availability, scalability and extendibility of their data via seamless data migration. To view these new releases, please download them at www.opendatacenteralliance.org/ourwork/usagemodels.
It's the Alliance's position that the implementation of key cloud computing standards could result in a reduction of $25 billion in annual IT costs within five years. To add weight to this ambitious claim, Alliance members are currently engaging in proof of concept (POC) testing of the proposed solutions. Some of these results will be featured at ODCA Forecast 2012, to be held on June 12 in conjunction with the 10th International Cloud Expo in New York City.
The Open Data Center Alliance formed in 2010 to create a simpler, more efficient path to cloud computing by providing guidance around five major areas: infrastructure, management, security, services, and regulation/ecosystem. Their mission is "to speed the migration to cloud computing by enabling the solution and service ecosystem to address IT requirements with the highest level of interoperability and standards." The group is led by a steering committee of senior IT executives, while Intel serves as the group's technical advisor. The full member list includes over three-hundred global IT leaders with a collective purchasing power of over $100 billion.
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.
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.