Cloud Futures 2012


The Cloud Futures 2012 workshop was a joint venture between the Microsoft Research Connections, Azure Research Engagement, and Developer & Platform Evangelism Academic groups, and in association with and supported by the University of California, Berkeley.

Cloud computing is an exciting platform for research and education. It has already advanced scientific and technological progress by making data and computing resources available at unprecedented economy of scale. To realize the full promise of cloud computing for research and education, however, we must think about the cloud as a holistic platform for creating new services, new experiences, and new methods to pursue research and teaching. Pursuing these goals presented a broad range of interesting questions for the 2012 Microsoft Research Cloud Futures workshop.

This year’s presentations highlighted hot topics in cloud computing and explored how new techniques and methods of research may solve distinct challenges arising in diverse areas, including computer science, engineering, Earth sciences, healthcare, humanities, interactive games, life sciences, and social sciences.


3-D Remote Collaboration Framework for Virtual Cultural Heritage
A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain
Advancing Declarative Query for Data-Intensive Science in the Cloud
An Efficient Meet-Up Mechanism by Mashing-Up Social and Mobile Clouds
Case Study on Cloud Computing Infusion at a Leading Tertiary Institution in Singapore
Cloud Computing as as Cyber-Infrastructure for Mass Customization and Collaboration
Cloud Computing for Fundamental Spatial Operations on Polygonal GIS Data
Cloud-Based Exploration of Complex Ecosystems for Science, Education and Entertainment
CumuloNimbo: Parallel-Distributed Trasactional Processing
Enabling Cloud Interoperability with COMPs
Experiences Using Windows Azure to Calibrate Watershed Models
Fast Exploration of the QSAR Model Space with e-Science Central and Windows Azure
Green Prefab: Civil Engineering Hub in Microsoft Windows Azure
InstantLab 2.0 – A Platform for Operating System Experiments on Public Cloud Infrastructure
Interactive 3-D Services Over Windows Azure
Large Scale Cloud Computing: Opportunities and Challenges
McCloud: Monte Carlo Service in Windows Azure
Microsoft Azure and the Kinect Join the World of Telemedicine to Save Lives
Programming Paradigms for Technical Computing on Clouds and Supercomputers
Remote Software Service or Mobile Clients Leveraging Cloud Computing
Scalable, Secure Analysis of Social Sciences Data on the Azure Platform
Science in the Cloud
Teaching Web-Scale Data Management Using Microsoft Azure: POSTECH Experiences
Twister4Azure: Parallel Data Analytics on Azure
Very Large Scale Operon Predictions via Comparative Genomics
Vision Paper: Towards an Understanding of the Limits of Map-Reduce Computation
Welcome from the Conference Organizers