Name
Abstract | ||
|---|---|---|
As cloud resources become more available as an execution platform, the need to transition applications between HPC and the cloud becomes a necessity. However, because of the complex setup and system specific demands of these applications, transition is difficult and may not scale as desired. Jetstream is a NSF funded cloud service that is aiming to provide these services for users in a dynamical allocated nature. In this work we look at three key areas to focus on when transitioning between resources: providing a portable reproducible environment, scaling between local and remote resources, and using feedback to the user for informing configuration and runtime decisions. Building on the MAKER bioinformatic application, we have deployed WQ-MAKER on the Jetstream cloud platform, helping to annotate over 30 genomes and accelerating performance from days to hours and weeks to days. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IC2E.2018.00029 | 2018 IEEE International Conference on Cloud Engineering (IC2E) |
Keywords | Field | DocType |
Bioinformatics,Scalability,Workflows | Cloud resources,Computer science,Workflow,Scalability,Cloud computing,Distributed computing | Conference |
ISBN | Citations | PageRank |
978-1-5386-5009-7 | 0 | 0.34 |
References | Authors | |
8 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicholas L. Hazekamp | 1 | 17 | 3.84 |
| Upendra Kumar Devisetty | 2 | 0 | 0.34 |
| Nirav Merchant | 3 | 57 | 6.78 |
| D. Thain | 4 | 2 | 2.12 |