A Wrap-up of the 2014 eScience in the Cloud Workshop

Dennis Gannon & Kristin Tolle, Microsoft Research

On April 29th and 30th, 2014 Microsoft Research hosted the eScience in the Cloud workshop. We had two days of great talks and discussion covering the critical themes that surround doing eScience in the cloud. Our goal was to explore the topics that were common to many disciplines. These included the general challenges of processing big data and machine learning, building collaborations and communities that can share resources, streaming data and its implications, the emerging academic discipline of data science, the challenges of building future massive, efficient data centers, and how to extract data from information. We were fortunate to have a great list of speaker from our academic community friends and inside Microsoft, including a great keynote from Raghu Ramakrishnan, one of Microsoft Technical Fellows and a very well-known data science researcher.

The audience consisted of about 70 local participants and several hundred remote participants who watched the live streaming. Of course because of time zone challenges, not everybody could watch the streaming at all times. Fortunately we were able to record the entire workshop from the streaming video and, for those of you that missed it, we can share it with you now. Below is the list of presentation and links to the videos for each session in the order that they appeared.

We feel that we are now entering into a time when cloud computing can truly making a difference for the way we do science. But we are just at the beginning.

Opening Remarks and Keynote Talk

Raghu Ramakrishnan

clip_image002Moderator: Dennis Gannon, Microsoft Research

Scale-Out Beyond Map-Reduce, Raghu Ramakrishnan, Microsoft Technical Fellow


Marty Humphrey and Roger Barga

clip_image004Moderator Wenming Ye, Microsoft Research

Big Data and Machine Learning, Roger Barga, Microsoft

Experiences using Microsoft Azure to Analyze and Visualize Large-Scale Environmental Data Marty Humphrey, University of Virginia

Accelerating Data-Intensive Genomics Analysis in the Cloud, Wuchun Feng, Virginia Tech.

Communities in the Cloud

Kenji Takeda, Steven Roberts, Evelyne Viegas, Tanya Berger-Wolf, and Chaitan Baru

clip_image006Moderator: Kenji Takeda, Microsoft Research

Collaborative Genomic Data Analyses in the Cloud Steven Roberts, University of Washington

CodaLab—Learn, Share and Collaborate, Evelyne Viegas, Microsoft Research

Ecological Information System, Tanya Berger-Wolf, University of Illinois Chicago

The EarthCube Cloud Commons Working Group, Chaitan Baru, San Diego Supercomputer Center

Streaming Environmental Data

Jie Liu, Yung-Hsiang Lu, and John Krumm

clip_image008Moderator: Harold Javid, Microsoft Research

Cloud-Offloaded GPS for Energy Efficient Localization Jie Liu, Microsoft Research

Cloud computing for analyzing many data streams, Yung-Hsiang Lu, Purdue University

What Can We Do with Your Location History? John Krumm, Microsoft Research


Data Science

Dennis Gannon, Merce Crosas, Bill Howe, Gabriel Antoniu, and Alex Wade

clip_image010Moderator: Dennis Gannon, Microsoft Research

Data Publishing and Data Analysis Tools on the Cloud, Merce Crosas, Harvard

Data Science Environment at the University of Washington eScience Institute, Bill Howe, University of Washington

Scalable Data-Intensive Processing for Science on Azure Clouds: A-Brain and Z-CloudFlow

Gabriel Antoniu, INRIA, France

Deploying a CKAN Data Repository in Azure, Alex Wade, Microsoft Research

Leading Edge of the Cloud

David Gauthier, Victor Bahl, Albert Greenberg, and Jonathan Goldstein

clip_image012Moderator: Kenji Takeda, Microsoft Research

Data Center Design Issues, David Gauthier, Microsoft

Cloudlets, Victor Bahl, Microsoft Research

Thoughts on Cloud Networking, Albert Greenberg, Microsoft

The Leading Edge for eScience, Jonathan Goldstein, Microsoft Research


Information from Data

Vani Mandava, Shahrokh Mortazavi, Geoffrey Fox, and Jeff Zhang


Moderator: Vani Mandava, Microsoft Research

Comparing Big Data and Simulation Applications and implications for software environments Geoffrey Fox, Indiana University

Extending the power of Excel with Power BI and Power MapDan Parish,

MicrosoftTools of the eScience trade (and also how to get them going on Windows!) Shahrokh Mortazavi, Microsoft


Keynote and closing remarks

Daron Green

clip_image016Moderator: Kristin Tolle, Microsoft Research

Windows Azure for Research and Beyond, Daron Green, Microsoft Research

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