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Wednesday, March 2 • 2:30pm - 3:00pm
Disruptive Technology 1: Orchestrating Containers within Production Oil and Gas HPC Workloads and Workflows

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Docker presents as an open platform that allows developers and sysadmins to build, ship and execute distributed applications. This is particularly appealing in cases where lightweight, easy-to-use, well-contained technologies, are well matched with rapidly evolving needs and faced-paced innovation. Not surprisingly then, numerous organizations are successfully evaluating Docker containers in proof-of-concept initiatives and/or pilot projects. The transition to production use, however, introduces additional requirements as Docker containers need to be incorporated into existing IT infrastructures and (ultimately) integrated into application workflows. Simply put, organizations need to be able to manage Docker containers in the same way they have become accustomed to managing other types of workloads and workflows. In other words, requirements to launch, execute, control (including limit) and account for Docker containers in production environments is well evident; complicating these requirements is the need to move data into and out from containers that may need to provide interactive-execution modalities. Although early adopters report “easier replication, faster deployment and lower configuration and operating costs” of workflows involving Docker containers, it is clear that more fulsome IT infrastructure integrations are called for. After reviewing selected use cases, attention shifts to ongoing and future efforts aimed at fully integrating Docker containers within on premise and/or cloud-based IT infrastructures from a workload orchestration and container optimization perspective for the oil and gas industry.

avatar for Ian Lumb

Ian Lumb

Solution Architect, Navops by Univa
As an HPC specialist, Ian Lumb has spent about two decades at the global intersection of IT and science. Ian received his B.Sc. from Montreal's McGill University, and then an M.Sc. from York University in Toronto. Although his undergraduate and graduate studies emphasized geophysics, Ian’s current interests include workload orchestration and container optimization for HPC to Big Data Analytics in clusters and clouds. Ian enjoys discussing... Read More →

Wednesday March 2, 2016 2:30pm - 3:00pm
BioScience Research Collaborative Building (BRC), Room 103

Attendees (9)