December 04, 2006
Everware-CBDI Inc., an independent source of practices, consulting and
education on service-oriented architecture (SOA), announced that it
intends to make a submission to the Object Management Group (OMG) in
response to their UML Profile and Metamodel for Services (UPMS) RFP
(Request for Proposal).
SOA is widely regarded as one of the most profound changes ever in enterprise computing, yet there is general confusion over basic concepts, architecture and practices. To address these issues Everware-CBDI has developed and published a comprehensive metamodel that defines SOA unambiguously leveraging current industry standards. A metamodel defines the rules for building business and software models and defines terminology in a consistent manner to eliminate confusion. The SOA metamodel provides essential precision for the specification of business services, and enables SOA automation and effective governance.
OMG is an open membership, international organization of information system vendors, software vendors, and end-user companies. Through its members, the OMG produces and maintains specifications for interoperable software. The OMG SOA Special Interest Group focuses on definition of methodology and models for SOA. Its UPMS RFP aims to address a part of the overall SOA metamodel by linking architectural, business and technology views of services.
David Sprott, vice president of Everware-CBDI, said, "Our objective in developing a metamodel for SOA was to bring clarity and consistency to SOA practices. We welcome the OMG's initiatives in this important area and are pleased to contribute to the achievement of a standardized industry view."
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 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.
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.