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\u2014including 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.<\/p>\n\n\n\n
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.<\/p>\n\n\n\n
This workshop included presentations that illustrated the role of cloud computing across a variety of research and educational areas\u2014including 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<\/a>.<\/p>\n\n\n\n\n\n A Secure Multi-party Collaboration System for Australian Coal Supply Chains<\/a> 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\u2014including 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. <\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr_startdate":"2011-06-02","msr_enddate":"2011-06-03","msr_location":"Microsoft Conference Center, Building 33, Redmond, Washington, United States","msr_expirationdate":"","msr_event_recording_link":"","msr_event_link":"","msr_event_link_redirect":false,"msr_event_time":"","msr_hide_region":false,"msr_private_event":true,"msr_hide_image_in_river":0,"footnotes":""},"research-area":[13547],"msr-region":[197900],"msr-event-type":[197944],"msr-video-type":[],"msr-locale":[268875],"msr-program-audience":[],"msr-post-option":[],"msr-impact-theme":[],"class_list":["post-288731","msr-event","type-msr-event","status-publish","hentry","msr-research-area-systems-and-networking","msr-region-north-america","msr-event-type-hosted-by-microsoft","msr-locale-en_us"],"msr_about":"\n\n\n\n\n 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\u2014including 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.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n This workshop included presentations that illustrated the role of cloud computing across a variety of research and educational areas\u2014including 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<\/a>.<\/p>\n\n\n\n\n\n A Secure Multi-party Collaboration System for Australian Coal Supply Chains<\/a>
Abstractions for Life-Science Applications on Clouds<\/a>
Beekeeping Enters the Cloud<\/a>
Bringing the Cloud to the Classroom Using the Microsoft Imagine Cup<\/a>
Classical and Iterative MapReduce on Azure<\/a>
Cloud Based Product Development<\/a>
Cloud Forensics: an Overview<\/a>
Cloud, HPC, or Hybrid: A Case Study Involving Satellite Image Processing<\/a>
Data Semantics Aware Clouds for High-Performance Analytics Systems<\/a>
Deep Natural Language Processing for Improving a Search Engine Infrastructure using Windows Azure<\/a>
Expanding the Horizons of Cloud Computing Beyond the Data Center<\/a>
High Thoughput, Low Ipedance e-Science on Microsoft Azure<\/a>
Inside Windows Azure, Microsoft\u2019s Cloud OS<\/a>
InstantLab \u2013 The Cloud as Operating System Teaching Platform<\/a>
Into the Blue: Streaming Data Processing in the Cloud<\/a>
Introducing Cloud Computing into STEM Undergraduate Curriculum Using Microsoft Azure<\/a>
Large Scale Prediction of Transcription Factor Binding Sites for Gene Regulation using Cloud Computing<\/a>
Making Sense at Scale with Algorithms, Machines, and People<\/a>
Microsoft Azure: The Ultimate Flexible Enterprise-Level Solution<\/a>
Multi-Cloud and Cloud-Desktop Coordination Made Simplified by GXP on Azure<\/a>
Network Display and Sharing System for Large Cultural Heritage Objects via Cloud Computing Environments<\/a>
Relational Data Markets in the Cloud: Challenges and Opportunities<\/a>
Risk Assessment and Cloud Strategy Development<\/a>
Running Large Workflows in the Cloud<\/a>
Scaling Document Clustering on the Cloud<\/a>
Stork Data Scheduler for Windows Azure<\/a>
The Cloud Will Change Everything<\/a>
The Parallelization of Geoscience Apps at C3L with Azure<\/a>
Towards Enabling Mid-Scale Geo-Science Experiments Through Microsoft Trident and Windows Azure<\/a>
University of Southern California, Clever Transportation Project (USC2T)<\/a>
URSA: Scalable Load Balancing and Power Management in Cluster Storage Systems<\/a>
Using the Cloud to Model and Manage Large Watershed Systems<\/a>
Windows Azure Tutorial Part 1<\/a>
Windows Azure Tutorial Part 2<\/a><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"
Abstractions for Life-Science Applications on Clouds<\/a>
Beekeeping Enters the Cloud<\/a>
Bringing the Cloud to the Classroom Using the Microsoft Imagine Cup<\/a>
Classical and Iterative MapReduce on Azure<\/a>
Cloud Based Product Development<\/a>
Cloud Forensics: an Overview<\/a>
Cloud, HPC, or Hybrid: A Case Study Involving Satellite Image Processing<\/a>
Data Semantics Aware Clouds for High-Performance Analytics Systems<\/a>
Deep Natural Language Processing for Improving a Search Engine Infrastructure using Windows Azure<\/a>
Expanding the Horizons of Cloud Computing Beyond the Data Center<\/a>
High Thoughput, Low Ipedance e-Science on Microsoft Azure<\/a>
Inside Windows Azure, Microsoft\u2019s Cloud OS<\/a>
InstantLab \u2013 The Cloud as Operating System Teaching Platform<\/a>
Into the Blue: Streaming Data Processing in the Cloud<\/a>
Introducing Cloud Computing into STEM Undergraduate Curriculum Using Microsoft Azure<\/a>
Large Scale Prediction of Transcription Factor Binding Sites for Gene Regulation using Cloud Computing<\/a>
Making Sense at Scale with Algorithms, Machines, and People<\/a>
Microsoft Azure: The Ultimate Flexible Enterprise-Level Solution<\/a>
Multi-Cloud and Cloud-Desktop Coordination Made Simplified by GXP on Azure<\/a>
Network Display and Sharing System for Large Cultural Heritage Objects via Cloud Computing Environments<\/a>
Relational Data Markets in the Cloud: Challenges and Opportunities<\/a>
Risk Assessment and Cloud Strategy Development<\/a>
Running Large Workflows in the Cloud<\/a>
Scaling Document Clustering on the Cloud<\/a>
Stork Data Scheduler for Windows Azure<\/a>
The Cloud Will Change Everything<\/a>
The Parallelization of Geoscience Apps at C3L with Azure<\/a>
Towards Enabling Mid-Scale Geo-Science Experiments Through Microsoft Trident and Windows Azure<\/a>
University of Southern California, Clever Transportation Project (USC2T)<\/a>
URSA: Scalable Load Balancing and Power Management in Cluster Storage Systems<\/a>
Using the Cloud to Model and Manage Large Watershed Systems<\/a>
Windows Azure Tutorial Part 1<\/a>
Windows Azure Tutorial Part 2<\/a><\/p>\n\n\n","tab-content":[{"id":0,"name":"About","content":"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\u2014including 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.\r\n\r\nCloud 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.\r\n\r\nThis workshop included presentations that illustrated the role of cloud computing across a variety of research and educational areas\u2014including 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<\/a>."},{"id":1,"name":"Slides","content":"A Secure Multi-party Collaboration System for Australian Coal Supply Chains<\/a>\r\nAbstractions for Life-Science Applications on Clouds<\/a>\r\nBeekeeping Enters the Cloud<\/a>\r\nBringing the Cloud to the Classroom Using the Microsoft Imagine Cup<\/a>\r\nClassical and Iterative MapReduce on Azure<\/a>\r\nCloud Based Product Development<\/a>\r\nCloud Forensics: an Overview<\/a>\r\nCloud, HPC, or Hybrid: A Case Study Involving Satellite Image Processing<\/a>\r\nData Semantics Aware Clouds for High-Performance Analytics Systems<\/a>\r\nDeep Natural Language Processing for Improving a Search Engine Infrastructure using Windows Azure<\/a>\r\nExpanding the Horizons of Cloud Computing Beyond the Data Center<\/a>\r\nHigh Thoughput, Low Ipedance e-Science on Microsoft Azure<\/a>\r\nInside Windows Azure, Microsoft's Cloud OS<\/a>\r\nInstantLab - The Cloud as Operating System Teaching Platform<\/a>\r\nInto the Blue: Streaming Data Processing in the Cloud<\/a>\r\nIntroducing Cloud Computing into STEM Undergraduate Curriculum Using Microsoft Azure<\/a>\r\nLarge Scale Prediction of Transcription Factor Binding Sites for Gene Regulation using Cloud Computing<\/a>\r\nMaking Sense at Scale with Algorithms, Machines, and People<\/a>\r\nMicrosoft Azure: The Ultimate Flexible Enterprise-Level Solution<\/a>\r\nMulti-Cloud and Cloud-Desktop Coordination Made Simplified by GXP on Azure<\/a>\r\nNetwork Display and Sharing System for Large Cultural Heritage Objects via Cloud Computing Environments<\/a>\r\nRelational Data Markets in the Cloud: Challenges and Opportunities<\/a>\r\nRisk Assessment and Cloud Strategy Development<\/a>\r\nRunning Large Workflows in the Cloud<\/a>\r\nScaling Document Clustering on the Cloud<\/a>\r\nStork Data Scheduler for Windows Azure<\/a>\r\nThe Cloud Will Change Everything<\/a>\r\nThe Parallelization of Geoscience Apps at C3L with Azure<\/a>\r\nTowards Enabling Mid-Scale Geo-Science Experiments Through Microsoft Trident and Windows Azure<\/a>\r\nUniversity of Southern California, Clever Transportation Project (USC2T)<\/a>\r\nURSA: Scalable Load Balancing and Power Management in Cluster Storage Systems<\/a>\r\nUsing the Cloud to Model and Manage Large Watershed Systems<\/a>\r\nWindows Azure Tutorial Part 1<\/a>\r\nWindows Azure Tutorial Part 2<\/a>"},{"id":2,"name":"Videos","content":"[videos]"}],"msr_startdate":"2011-06-02","msr_enddate":"2011-06-03","msr_event_time":"","msr_location":"Microsoft Conference Center, Building 33, Redmond, Washington, United States","msr_event_link":"","msr_event_recording_link":"","msr_startdate_formatted":"June 2, 2011","msr_register_text":"Watch now","msr_cta_link":"","msr_cta_text":"","msr_cta_bi_name":"","featured_image_thumbnail":null,"event_excerpt":"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\u2014including computer science, earth sciences, healthcare, humanities, life sciences, and social sciences. 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