Azure Academic Pilot – Krishna Kumar, Microsoft
Bertrand Meyer, ETH Zurich
Cloud Computing for Chemical Property Prediction – Paul Watson, Newcastle University
Cloud Computing Projects in Engineering – Harold Castro, Universidad de los Andes
Cloud Computing Support for Massively Social Gaming – Alexandru Iosup, Delft University of Technology
CloudStudio: Collaborative, Cloud-Based Software Development – Bertrand Meyer, ETH Zurich
Cognitive Publish/Subscribe for Heterogeneous Clouds – Sarunas Girdzijauskas, Swedish Institute of Computer Science
Consistency Options for Replicated Storage in the Cloud – Ken Birman, Cornell University
Consumer Decision Support for Resource Procurement in IaaS Markets – Kurt Vanmechelen, University of Antwerp
Data and the Cloud. A Call for Improved Formats and Consistency in Data Services Supporting Scientific Research – Rob Gillen, Oak Ridge National Laboratory
Domain Specific Cloud Components for General Availability of Cloud Computing to Research – Marco Parenzan, Università degli Studi di Trieste
Early Progress on SEJITS in Many Core and Cloud Environments – Armando Fox, University of California Berkeley
Elasticity through Modularity – Jan Rellermeyer, ETH Zurich
Enabling Scalable Genomics Research across Desktop and the Cloud – Yogesh Simmhan, Microsoft Research
Experiences using Windows Azure to Process MODIS Satellite Data – Jie Li, University of Virginia
General Session Keynote – David Patterson, University of California at Berkeley
Google App Engine – Christian Schalk, Google
Implementing a DICOM Image Archival Solution in Microsoft Windows Azure Cloud: an Information Technology Senior Project – Chia-Chi Teng, Brigham Young University
Interactive and Fault-tolerant Data Analytics in the Cloud – Magdalena Balazinska, University of Washington
Leveraging Domain-Specific Software Architectures for Classifying Cloud Service Abstractions – T S Mohan, Infosys
Looking Inside the Virtualization Layer for Performance, Security, and Software Fault Tolerance – Sorav Bansal, IIT Dehli
Management and Contextualization of Scientific Virtual Appliances – Germán Moltó, Universidad Politécnica de Valencia
Managing the Cloud Infrastructure – Antonio Cisternino, University of Pisa
Microsoft Azure for Research – Roger Barga and Jared Jackson, Microsoft Research
Microsoft Codename “Dallas” – Christian Liensberger, Microsoft
Monitoring and Mining Sensor Data in Cloud Computing Platforms – Wen-Chih Peng, National Chiao Tung University
Operating System Research Extended into the Cloud – Alexander Schmidt, Hasso-Plattner-Institute
Paul Watson, Newcastle University
Programming a Service Cloud – Rosa M. Badia, Barcelona Supercomputing Center
QoS-aware Clouds – Fabio Panzieri, University of Bologna
Rapid Diagnosis of Acute Heart Disease by Cloud-based High Performance Computing for Computer Vision – Oleksii Morozov, University Hospital of Basel
SKYINFO – Innovative Technology-Convergence Cloud Application – Matej Hertis, University of Maribor
The Cloud for University City Campus – Danilo Montesi, University of Bologna
Towards an Open Service Framework for Cloud-based Knowledge Discovery – Domenico Talia, Università della Calabria
Towards Predictable Cloud Computing – Andreas Polze, Hasso-Plattner-Institute
Using Cloud Computing to Support Virtual Congress – Juan G. Lalinde-Pulido, Universidad EAFIT