CERN Accelerating science

Talk
Title Scientific Workflows at Fermilab Using On-demand Services in the Cloud
Video
If you experience any problem watching the video, click the download button below
Download Embed
Mp4:Medium
(1000 kbps)
High
(2000 kbps)
More..
Copy-paste this code into your page:
Copy-paste this code into your page to include both slides and lecture:
Author(s) Timm, Steven C. (speaker) (Fermilab)
Corporate author(s) CERN. Geneva
Imprint 2014-05-27. - Streaming video.
Series (Computing Seminar)
Lecture note on 2014-05-27T14:00:00
Subject category Computing Seminar
Abstract

The FermiCloud project exists to provide on-demand computing and data movement services to the various experiments at Fermilab. We face a dynamically changing demand for compute resources and data movement, which we meet by enabling our users to run on our own site, remote grid sites, and cloud sites. We also instantiate on-demand data movement and web caching services to support this remote analysis. In this presentation we will briefly summarize some of the recent research results of our recent students and outline the challenges of the research problems in our current project. These include coordinated launches of compute nodes plus data movement servers, interoperability with new commercial clouds, and exploration of new distributed storage models.

About the speaker

Dr. Steven Timm is the associate head for Cloud Computing of the Grid and Cloud Services Department at Fermilab. He has led the FermiCloud project since its inception in early 2010, and been a member of the Fermilab staff since 2000. In this role he coordinates working with visiting students and guest researchers from other laboratories doing research and development on innovative techniques in distributed computing and cloud computing. He completed his PhD. Studies at Carnegie Mellon University in 1995.

Copyright/License © 2014-2024 CERN
Submitted by miguel.marquina@cern.ch

 


 Record created 2014-05-28, last modified 2022-11-02


External link:
Download fulltext
Event details