February 22, 2013
SAN FRANCISCO, Calif., Feb. 22 – Riverbed Technology, the application performance company, today announced the appointment of Satya Nadella to its board of directors. Mr. Nadella currently serves as president of Microsoft Corporation's Server and Tools Business (STB), a $19 billion division that builds and runs the company's computing platforms, developer tools, and cloud services. Nadella's guidance on Riverbed's corporate vision and technology innovations will be extremely valuable as Riverbed continues on its mission to provide application performance solutions for a highly virtualized and mobile world.
"Satya brings tremendous cloud computing and infrastructure expertise, as well as valuable perspective that comes from more than 20 years of leadership experience at one of the world's most recognized technology companies," said Jerry M. Kennelly, chairman and CEO at Riverbed. "Satya's industry insights will be an asset for our board, and we look forward to collaborating with him as we enter into the next phase of our growth as a billion-dollar plus company."
A 21-year veteran of Microsoft, Nadella and the STB team are working to deliver the "Cloud OS" -- Microsoft's next generation back-end platform that spans private, public, and service cloud providers and runs at a global, multi-datacenter scale. Prior to STB, Nadella was senior vice president of R&D for the Online Services Division, which includes the Search (Bing), Portal (MSN), and Advertising platforms, where he was responsible for some of the largest cloud infrastructure in the world. Prior to the Online Services Division, Nadella led Microsoft Business Solutions (MBS), which develops and markets the Microsoft Dynamics line of ERP and CRM products. Before joining Microsoft, Nadella was a member of the technology staff at Sun Microsystems, Inc.
"Riverbed is at the intersection of major industry trends such as virtualization, cloud, software-defined networking and data centers, and mobility," said Nadella. "The company started a revolution with WAN optimization and then followed with strategic acquisitions and internal development that have made it the leader in delivering application performance solutions. I look forward to working with a successful and talented management team and contributing to the future growth and success of the company."
Riverbed delivers application performance for the globally connected enterprise. With Riverbed, enterprises can successfully and intelligently implement strategic initiatives such as virtualization, consolidation, cloud computing, and disaster recovery without fear of compromising performance. By giving enterprises the platform they need to understand, optimize and consolidate their IT, Riverbed helps enterprises to build a fast, fluid and dynamic IT architecture that aligns with the business needs of the organization.
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.
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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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The study of climate change is one of those scientific problems where it is almost essential to model the entire Earth to attain accurate results and make worthwhile predictions. In an attempt to make climate science more accessible to smaller research facilities, NASA introduced what they call ‘Climate in a Box,’ a system they note acts as a desktop supercomputer.
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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.
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