Room: Ballroom
Date: 4/18/2023
Session Time: 8:00 AM to 5:45 PM (local time)
Geophysical Data Analysis in Cloud Computing Environments
Advancements in instrumentation are increasing the variety, complexity and volume of geophysical datasets. Improvements in cyber infrastructure have been helping to reduce the effort and cost in collecting, storing and sharing large datasets. Utilization of cloud compute and storage resources has the potential to make large temporal and spatial analyses more tractable and for a larger audience. Furthermore, with more data center facilities providing access to datasets in the cloud, the opportunity to process data without transferring it across the internet significantly reduces the operational burden, and potentially cost, of research computation.
Cloud computing services, like distributed messaging queues, serverless functions, object storage and container orchestration, expand the options for how research at very large scales can be performed. Open frameworks that can be used in the cloud such as Apache Spark, xarray and Dask, Ray, etc. provide even more options.
In this session, we invite researchers, data producers and data providers to share their experiences deploying resources in cloud environments to support or conduct data collection, transformation, analysis, storage and distribution at scale.
Conveners
Chad Trabant, Incorporated Research Institutions for Seismology (chad.trabant@iris.edu)
Henry Berglund, UNAVCO (henry.berglund@unavco.org)
Poster Presentations
| Participant Role | Details | Action |
|---|---|---|
| Submission | A Cloud Ecosystem for Data and Software Developed by SCOPED | View |
| Submission | Constructing Cloud Resources for the Individual Researcher From the Ground Up: An Example of Earthquake Detection in the Cloud | View |
| Submission | Seismic Networks in the Cloud | View |
| Submission | Leveraging Cloud Services for the Earthscope Data Repositories | View |
Geophysical Data Analysis in Cloud Computing Environments [Poster]
Description