Cloud Futures 2011

About

The Cloud Futures Workshop series brought together thought leaders from academia, industry, and government to discuss the role of cloud computing across a variety of research and educational areas—including computer science, earth sciences, healthcare, humanities, life sciences, and social sciences. Presentations and discussions highlighted how new techniques, software platforms, and methods of research and teaching in the cloud may solve distinct challenges arising in those diverse areas.

Cloud computing is an exciting platform for research and education. It has the potential to advance scientific and technological progress 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 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, teaching, and scholarly communication. This goal presents a broad range of interesting questions.

This workshop included presentations that illustrated the role of cloud computing across a variety of research and educational areas—including computer science, engineering, earth sciences, healthcare, humanities, life sciences, and social sciences. Attendees had the opportunity to learn how new techniques and methods of research in the cloud may solve distinct challenges arising in those diverse areas. All of the sessions in the Cascade conference room were streamed live while the workshop was in session. To view abstracts and information on the speakers, click here.

Slides

A Secure Multi-party Collaboration System for Australian Coal Supply Chains
Abstractions for Life-Science Applications on Clouds
Beekeeping Enters the Cloud
Bringing the Cloud to the Classroom Using the Microsoft Imagine Cup
Classical and Iterative MapReduce on Azure
Cloud Based Product Development
Cloud Forensics: an Overview
Cloud, HPC, or Hybrid: A Case Study Involving Satellite Image Processing
Data Semantics Aware Clouds for High-Performance Analytics Systems
Deep Natural Language Processing for Improving a Search Engine Infrastructure using Windows Azure
Expanding the Horizons of Cloud Computing Beyond the Data Center
High Thoughput, Low Ipedance e-Science on Microsoft Azure
Inside Windows Azure, Microsoft’s Cloud OS
InstantLab – The Cloud as Operating System Teaching Platform
Into the Blue: Streaming Data Processing in the Cloud
Introducing Cloud Computing into STEM Undergraduate Curriculum Using Microsoft Azure
Large Scale Prediction of Transcription Factor Binding Sites for Gene Regulation using Cloud Computing
Making Sense at Scale with Algorithms, Machines, and People
Microsoft Azure: The Ultimate Flexible Enterprise-Level Solution
Multi-Cloud and Cloud-Desktop Coordination Made Simplified by GXP on Azure
Network Display and Sharing System for Large Cultural Heritage Objects via Cloud Computing Environments
Relational Data Markets in the Cloud: Challenges and Opportunities
Risk Assessment and Cloud Strategy Development
Running Large Workflows in the Cloud
Scaling Document Clustering on the Cloud
Stork Data Scheduler for Windows Azure
The Cloud Will Change Everything
The Parallelization of Geoscience Apps at C3L with Azure
Towards Enabling Mid-Scale Geo-Science Experiments Through Microsoft Trident and Windows Azure
University of Southern California, Clever Transportation Project (USC2T)
URSA: Scalable Load Balancing and Power Management in Cluster Storage Systems
Using the Cloud to Model and Manage Large Watershed Systems
Windows Azure Tutorial Part 1
Windows Azure Tutorial Part 2

Videos