September 09, 2010
BonFIRE is a 8.5 million-Euro project funded by the EU under the Future Internet Experimental Facility and Research area “aimed at designing, building and operating a multi-cloud facility to support applications, services and systems research targeting the Internet of Services community within the Future Internet.”
The cloud computing research project will bring together a group of some of the world’s leading academic and industry organizations to make the plans for a cloud research facility a reality with the assistance of analysts from the 451 Group donating their time and expertise.
BonFIRE will operate a cloud facility based on an IaaS model and will take what Ignacio M. Llorente of OpenNebula describes as a “federated multi-platform approach providing interconnection and interoperation between novel service and networking testbeds.” This platform will allow for tools and services research involving “cloud federation, virtual machine management, service modeling, service lifecycle management, service level agreements, and quality of service monitoring and analytics.”
As Llorente noted, “OpenNebula will provide the EU project with a powerful technology to build IaaS clouds supporting the cloud management functionality, the integration capabilities and the scalability and reliability to run large-scale experiments for future internet research.”
Full story at OpenNebula
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.
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