Following are the presentations that have been confirmed for the Academic Cloud Computing seminar to be showcased at Nazarbayez University on November 20. Please also see the links to the Call for Participation and Call for Presentations that contain pertinent information on this seminar open to all interested attendees at no cost.

PRESENTATIONS

Keynote #1: "Private Academic _Cloud Computing -- An Experience Report on Using Existing Infrastructure for Cloud Resources at Nazarbayev University"_

Keynote #2: "Software Engineering the Cloud -- Developing Software for a Clean Approach to Using Cost-Effective Cloud Resources for Wind Turbine Forecast Prediction"

Abstract of Keynote #2: This presentation reports on our experience using cloud computation for training neuronal networks for wind turbine weather forecast predictions. The training of multiple neuronal networks is embarrassingly parallel and just needs inexpensive CPU time -- locally or in the cloud. It does not need high quality services (e.g., 24/7 availability). First, we considered using the existing cloud services offered by Amazon. To increase flexibility and to be less dependent on a specific cloud provider, we decided to build our own job management infrastructure. To minimize the required administration, our cloud infrastructure automates as much work as possible. To achieve high automation, we developed our cloud infrastructure using a very clean development method: story driven modeling. Our infrastructure offers the desired flexibility and runs reliably on different clouds. In addition, it also enables special features like remote debugging support for cloud projects. This presentation will cover the cloud infrastructure and lessons learned from its creation.

Introduction to Talks: "Research in Teaching"

Talk #1: _"_Cloud Internship Report"

Talk #2: _"_G-Cloud and R&D at NITEC___"

_Talk #3: "_GPU Computing -- Using the __P__ower of Graphic Cards __for __High Performance Computing Resources"

Talk #4: "Using Amazon Web Services in Research & Teaching – Two Case Studies"_

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