Cloud Futures 2010


On April 8 and 9, 2010, the Cloud Futures Workshop brought together thought leaders from academia, industry, and government to discuss the role of cloud computing across disciplines, with the goal of highlighting how new techniques and methods of research in the cloud may solve distinct challenges arising in those diverse areas.

Cloud computing is fast becoming the most important platform for research. Researchers today need vast computing resources to collect, share, manipulate, and explore massive data sets as well as to build and deploy new services for research. Cloud computing has the potential to advance research discoveries by making data and computing resources readily available at unprecedented economy of scale and nearly infinite scalability. To realize the full promise of cloud computing for research, however, one must think about the cloud as a holistic platform for creating new services, new experiences, and new methods to pursue research, teaching and scholarly communication. This goal presents a broad range of interesting questions.

We invited extended abstracts that illustrate the role of cloud computing across a variety of research and curriculum development areas—including computer science, earth sciences, healthcare, humanities, life sciences, and social sciences—that highlight how new techniques and methods of research in the cloud may solve distinct challenges arising in those diverse areas.

Note: All abstract submissions were due on February 10, 2010. We are no longer accepting submissions.

See list of abstracts and speaker bios here.

David A. Patterson Professor of Computer Science, Reliable Adaptive Distributed Systems Lab, University of California Berkley

Dan Reed Corporate Vice President, Extreme Computing Group, Microsoft Research


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