![\"patterson_david\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/09\/patterson_david.jpg\")
<\/figure>\n\n\n\nAzure Academic Pilot \u2013 Krishna Kumar, Microsoft<\/a> 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.<\/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":"2010-04-08","msr_enddate":"2010-04-09","msr_location":"","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-288323","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 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.<\/p>\n\n\n\n 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.<\/p>\n\n\n\n We invited extended abstracts that illustrate the role of cloud computing across a variety of research and curriculum development areas\u2014including computer science, earth sciences, healthcare, humanities, life sciences, and social sciences\u2014that highlight how new techniques and methods of research in the cloud may solve distinct challenges arising in those diverse areas.<\/p>\n\n\n\n Note: All abstract submissions were due on February 10, 2010. We are no longer accepting submissions.<\/p>\n\n\n\n See list of abstracts and speaker bios here<\/a>.<\/p>\n\n\n\n Azure Academic Pilot \u2013 Krishna Kumar, Microsoft<\/a>
\nDavid A. Patterson<\/strong> Professor of Computer Science, Reliable Adaptive Distributed Systems Lab, University of California Berkley<\/em><\/p>\n\n\n\n![\"reed_dan\"](\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2016\/09\/reed_dan.jpg\")
<\/figure>\n\n\n\n
\nDan Reed<\/strong> Corporate Vice President, Extreme Computing Group, Microsoft Research<\/em><\/p>\n\n\n\n\n\n
Bertrand Meyer, ETH Zurich<\/a>
Cloud Computing for Chemical Property Prediction \u2013 Paul Watson, Newcastle University<\/a>
Cloud Computing Projects in Engineering \u2013 Harold Castro, Universidad de los Andes<\/a>
Cloud Computing Support for Massively Social Gaming \u2013 Alexandru Iosup, Delft University of Technology<\/a>
CloudStudio: Collaborative, Cloud-Based Software Development \u2013 Bertrand Meyer, ETH Zurich<\/a>
Cognitive Publish\/Subscribe for Heterogeneous Clouds \u2013 Sarunas Girdzijauskas, Swedish Institute of Computer Science<\/a>
Consistency Options for Replicated Storage in the Cloud \u2013 Ken Birman, Cornell University<\/a>
Consumer Decision Support for Resource Procurement in IaaS Markets \u2013 Kurt Vanmechelen, University of Antwerp<\/a>
Data and the Cloud. A Call for Improved Formats and Consistency in Data Services Supporting Scientific Research \u2013 Rob Gillen, Oak Ridge National Laboratory<\/a>
Domain Specific Cloud Components for General Availability of Cloud Computing to Research \u2013 Marco Parenzan, Universit\u00e0 degli Studi di Trieste<\/a>
Early Progress on SEJITS in Many Core and Cloud Environments \u2013 Armando Fox, University of California Berkeley<\/a>
Elasticity through Modularity \u2013 Jan Rellermeyer, ETH Zurich<\/a>
Enabling Scalable Genomics Research across Desktop and the Cloud \u2013 Yogesh Simmhan, Microsoft Research<\/a>
Experiences using Windows Azure to Process MODIS Satellite Data \u2013 Jie Li, University of Virginia<\/a>
General Session Keynote \u2013 David Patterson, University of California at Berkeley<\/a>
Google App Engine \u2013 Christian Schalk, Google<\/a>
Implementing a DICOM Image Archival Solution in Microsoft Windows Azure Cloud: an Information Technology Senior Project \u2013 Chia-Chi Teng, Brigham Young University<\/a>
Interactive and Fault-tolerant Data Analytics in the Cloud \u2013 Magdalena Balazinska, University of Washington<\/a>
Leveraging Domain-Specific Software Architectures for Classifying Cloud Service Abstractions \u2013 T S Mohan, Infosys<\/a>
Looking Inside the Virtualization Layer for Performance, Security, and Software Fault Tolerance \u2013 Sorav Bansal, IIT Dehli<\/a>
Management and Contextualization of Scientific Virtual Appliances \u2013 Germ\u00e1n Molt\u00f3, Universidad Polit\u00e9cnica de Valencia<\/a>
Managing the Cloud Infrastructure \u2013 Antonio Cisternino, University of Pisa<\/a>
Microsoft Azure for Research \u2013 Roger Barga and Jared Jackson, Microsoft Research<\/a>
Microsoft Codename \u201cDallas\u201d \u2013 Christian Liensberger, Microsoft<\/a>
Monitoring and Mining Sensor Data in Cloud Computing Platforms \u2013 Wen-Chih Peng, National Chiao Tung University<\/a>
Operating System Research Extended into the Cloud \u2013 Alexander Schmidt, Hasso-Plattner-Institute<\/a>
Paul Watson, Newcastle University<\/a>
Programming a Service Cloud \u2013 Rosa M. Badia, Barcelona Supercomputing Center<\/a>
QoS-aware Clouds \u2013 Fabio Panzieri, University of Bologna<\/a>
Rapid Diagnosis of Acute Heart Disease by Cloud-based High Performance Computing for Computer Vision \u2013 Oleksii Morozov, University Hospital of Basel<\/a>
SKYINFO \u2013 Innovative Technology-Convergence Cloud Application \u2013 Matej Hertis, University of Maribor<\/a>
The Cloud for University City Campus \u2013 Danilo Montesi, University of Bologna<\/a>
Towards an Open Service Framework for Cloud-based Knowledge Discovery \u2013 Domenico Talia, Universit\u00e0 della Calabria<\/a>
Towards Predictable Cloud Computing \u2013 Andreas Polze, Hasso-Plattner-Institute<\/a>
Using Cloud Computing to Support Virtual Congress \u2013 Juan G. Lalinde-Pulido, Universidad EAFIT<\/a><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"<\/figure>\n\n\n\n
\nDavid A. Patterson<\/strong> Professor of Computer Science, Reliable Adaptive Distributed Systems Lab, University of California Berkley<\/em><\/p>\n\n\n\n<\/figure>\n\n\n\n
\nDan Reed<\/strong> Corporate Vice President, Extreme Computing Group, Microsoft Research<\/em><\/p>\n\n\n\n\n\n
Bertrand Meyer, ETH Zurich<\/a>
Cloud Computing for Chemical Property Prediction \u2013 Paul Watson, Newcastle University<\/a>
Cloud Computing Projects in Engineering \u2013 Harold Castro, Universidad de los Andes<\/a>
Cloud Computing Support for Massively Social Gaming \u2013 Alexandru Iosup, Delft University of Technology<\/a>
CloudStudio: Collaborative, Cloud-Based Software Development \u2013 Bertrand Meyer, ETH Zurich<\/a>
Cognitive Publish\/Subscribe for Heterogeneous Clouds \u2013 Sarunas Girdzijauskas, Swedish Institute of Computer Science<\/a>
Consistency Options for Replicated Storage in the Cloud \u2013 Ken Birman, Cornell University<\/a>
Consumer Decision Support for Resource Procurement in IaaS Markets \u2013 Kurt Vanmechelen, University of Antwerp<\/a>
Data and the Cloud. A Call for Improved Formats and Consistency in Data Services Supporting Scientific Research \u2013 Rob Gillen, Oak Ridge National Laboratory<\/a>
Domain Specific Cloud Components for General Availability of Cloud Computing to Research \u2013 Marco Parenzan, Universit\u00e0 degli Studi di Trieste<\/a>
Early Progress on SEJITS in Many Core and Cloud Environments \u2013 Armando Fox, University of California Berkeley<\/a>
Elasticity through Modularity \u2013 Jan Rellermeyer, ETH Zurich<\/a>
Enabling Scalable Genomics Research across Desktop and the Cloud \u2013 Yogesh Simmhan, Microsoft Research<\/a>
Experiences using Windows Azure to Process MODIS Satellite Data \u2013 Jie Li, University of Virginia<\/a>
General Session Keynote \u2013 David Patterson, University of California at Berkeley<\/a>
Google App Engine \u2013 Christian Schalk, Google<\/a>
Implementing a DICOM Image Archival Solution in Microsoft Windows Azure Cloud: an Information Technology Senior Project \u2013 Chia-Chi Teng, Brigham Young University<\/a>
Interactive and Fault-tolerant Data Analytics in the Cloud \u2013 Magdalena Balazinska, University of Washington<\/a>
Leveraging Domain-Specific Software Architectures for Classifying Cloud Service Abstractions \u2013 T S Mohan, Infosys<\/a>
Looking Inside the Virtualization Layer for Performance, Security, and Software Fault Tolerance \u2013 Sorav Bansal, IIT Dehli<\/a>
Management and Contextualization of Scientific Virtual Appliances \u2013 Germ\u00e1n Molt\u00f3, Universidad Polit\u00e9cnica de Valencia<\/a>
Managing the Cloud Infrastructure \u2013 Antonio Cisternino, University of Pisa<\/a>
Microsoft Azure for Research \u2013 Roger Barga and Jared Jackson, Microsoft Research<\/a>
Microsoft Codename \u201cDallas\u201d \u2013 Christian Liensberger, Microsoft<\/a>
Monitoring and Mining Sensor Data in Cloud Computing Platforms \u2013 Wen-Chih Peng, National Chiao Tung University<\/a>
Operating System Research Extended into the Cloud \u2013 Alexander Schmidt, Hasso-Plattner-Institute<\/a>
Paul Watson, Newcastle University<\/a>
Programming a Service Cloud \u2013 Rosa M. Badia, Barcelona Supercomputing Center<\/a>
QoS-aware Clouds \u2013 Fabio Panzieri, University of Bologna<\/a>
Rapid Diagnosis of Acute Heart Disease by Cloud-based High Performance Computing for Computer Vision \u2013 Oleksii Morozov, University Hospital of Basel<\/a>
SKYINFO \u2013 Innovative Technology-Convergence Cloud Application \u2013 Matej Hertis, University of Maribor<\/a>
The Cloud for University City Campus \u2013 Danilo Montesi, University of Bologna<\/a>
Towards an Open Service Framework for Cloud-based Knowledge Discovery \u2013 Domenico Talia, Universit\u00e0 della Calabria<\/a>
Towards Predictable Cloud Computing \u2013 Andreas Polze, Hasso-Plattner-Institute<\/a>
Using Cloud Computing to Support Virtual Congress \u2013 Juan G. Lalinde-Pulido, Universidad EAFIT<\/a><\/p>\n\n\n","tab-content":[{"id":0,"name":"About","content":"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.\r\n\r\nCloud 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.\r\n\r\nWe invited extended abstracts that illustrate the role of cloud computing across a variety of research and curriculum development areas\u2014including computer science, earth sciences, healthcare, humanities, life sciences, and social sciences\u2014that highlight how new techniques and methods of research in the cloud may solve distinct challenges arising in those diverse areas.\r\n\r\nNote: All abstract submissions were due on February 10, 2010. We are no longer accepting submissions.\r\n\r\nSee list of abstracts and speaker bios here<\/a>.\r\n\r\n\r\nDavid A. Patterson<\/strong> Professor of Computer Science, Reliable Adaptive Distributed Systems Lab, University of California Berkley<\/em>\r\n\r\n\r\nDan Reed<\/strong> Corporate Vice President, Extreme Computing Group, Microsoft Research<\/em>"},{"id":1,"name":"Slides","content":"Azure Academic Pilot \u2013 Krishna Kumar, Microsoft<\/a>\r\nBertrand Meyer, ETH Zurich<\/a>\r\nCloud Computing for Chemical Property Prediction \u2013 Paul Watson, Newcastle University<\/a>\r\nCloud Computing Projects in Engineering \u2013 Harold Castro, Universidad de los Andes<\/a>\r\nCloud Computing Support for Massively Social Gaming \u2013 Alexandru Iosup, Delft University of Technology<\/a>\r\nCloudStudio: Collaborative, Cloud-Based Software Development \u2013 Bertrand Meyer, ETH Zurich<\/a>\r\nCognitive Publish\/Subscribe for Heterogeneous Clouds \u2013 Sarunas Girdzijauskas, Swedish Institute of Computer Science<\/a>\r\nConsistency Options for Replicated Storage in the Cloud \u2013 Ken Birman, Cornell University<\/a>\r\nConsumer Decision Support for Resource Procurement in IaaS Markets \u2013 Kurt Vanmechelen, University of Antwerp<\/a>\r\nData and the Cloud. A Call for Improved Formats and Consistency in Data Services Supporting Scientific Research \u2013 Rob Gillen, Oak Ridge National Laboratory<\/a>\r\nDomain Specific Cloud Components for General Availability of Cloud Computing to Research \u2013 Marco Parenzan, Universit\u00e0 degli Studi di Trieste<\/a>\r\nEarly Progress on SEJITS in Many Core and Cloud Environments \u2013 Armando Fox, University of California Berkeley<\/a>\r\nElasticity through Modularity \u2013 Jan Rellermeyer, ETH Zurich<\/a>\r\nEnabling Scalable Genomics Research across Desktop and the Cloud \u2013 Yogesh Simmhan, Microsoft Research<\/a>\r\nExperiences using Windows Azure to Process MODIS Satellite Data \u2013 Jie Li, University of Virginia<\/a>\r\nGeneral Session Keynote \u2013 David Patterson, University of California at Berkeley<\/a>\r\nGoogle App Engine \u2013 Christian Schalk, Google<\/a>\r\nImplementing a DICOM Image Archival Solution in Microsoft Windows Azure Cloud: an Information Technology Senior Project \u2013 Chia-Chi Teng, Brigham Young University<\/a>\r\nInteractive and Fault-tolerant Data Analytics in the Cloud \u2013 Magdalena Balazinska, University of Washington<\/a>\r\nLeveraging Domain-Specific Software Architectures for Classifying Cloud Service Abstractions \u2013 T S Mohan, Infosys<\/a>\r\nLooking Inside the Virtualization Layer for Performance, Security, and Software Fault Tolerance \u2013 Sorav Bansal, IIT Dehli<\/a>\r\nManagement and Contextualization of Scientific Virtual Appliances \u2013 Germ\u00e1n Molt\u00f3, Universidad Polit\u00e9cnica de Valencia<\/a>\r\nManaging the Cloud Infrastructure \u2013 Antonio Cisternino, University of Pisa<\/a>\r\nMicrosoft Azure for Research \u2013 Roger Barga and Jared Jackson, Microsoft Research<\/a>\r\nMicrosoft Codename \"Dallas\" \u2013 Christian Liensberger, Microsoft<\/a>\r\nMonitoring and Mining Sensor Data in Cloud Computing Platforms \u2013 Wen-Chih Peng, National Chiao Tung University<\/a>\r\nOperating System Research Extended into the Cloud \u2013 Alexander Schmidt, Hasso-Plattner-Institute<\/a>\r\nPaul Watson, Newcastle University<\/a>\r\nProgramming a Service Cloud \u2013 Rosa M. Badia, Barcelona Supercomputing Center<\/a>\r\nQoS-aware Clouds \u2013 Fabio Panzieri, University of Bologna<\/a>\r\nRapid Diagnosis of Acute Heart Disease by Cloud-based High Performance Computing for Computer Vision \u2013 Oleksii Morozov, University Hospital of Basel<\/a>\r\nSKYINFO \u2013 Innovative Technology-Convergence Cloud Application \u2013 Matej Hertis, University of Maribor<\/a>\r\nThe Cloud for University City Campus \u2013 Danilo Montesi, University of Bologna<\/a>\r\nTowards an Open Service Framework for Cloud-based Knowledge Discovery \u2013 Domenico Talia, Universit\u00e0 della Calabria<\/a>\r\nTowards Predictable Cloud Computing \u2013 Andreas Polze, Hasso-Plattner-Institute<\/a>\r\nUsing Cloud Computing to Support Virtual Congress \u2013 Juan G. 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