CANARIE Project: NEP-101 HEP Data-Intensive Distributed Cloud Computing

Researchers at the University of Victoria, National Research Council (NRC) of Canada and CANARIE have developed a facility to execute data-intensive applications in a distributed batch cloud computing environment.

Go to internal project site

Documentation

• For the system:
  • Use Cases
  • System Requirements
  • System Design

Presentations

• Glint: image distribution in a multi-cloud environment, C. Leavett-Brown, OpenStack Summit, Paris, November 2014
• HEP Computing in a Context-aware Distributed Cloud, R.Sobie, Keynote presentation, Distributed Cloud Computing Workshop, Chicago, August 2014
• Glint Image Repository, R.Desmarais, Poster at the SAVI Workshop, Toronto, July 2014
• HEP Computing in a Context-aware Distributed Cloud, R.Sobie, Science Cloud Workshop, Vancouver, June 2014
• Big data in HEP, R. Sobie, BCNET Annual Meeting, Vancouver, April 2014
• Status of the Canadian LHCONE Network, Ian Gable, LHCONE Meeting, CERN, February 2014
• An Overview of CloudScheduler (for the Belle-II Project), F.Berghauss, Belle-II Collaboration Meeting, KEK, November 2013

Links

• Internal project site
• Glint source code