GENI Science Shakedown Experiments Paul Ruth, Anirban Mandal , Brian Blanton, Jeffery Tilson

1. GENI Science Shakedown ExperimentsPaul Ruth, AnirbanMandal, Brian Blanton, Jeffery Tilson ExoGENI Custom Images Images On Each Testbed • New script to snapshot ExoGENI VMs • Images defined by XML metadata file • Image (AMI) • Kernel (AKI) • Ramdisk (ARI) • Hosted on HTTP server • Snapshot script creates: image, kernel, ramdisk, metadata from running VM • High level steps • Create/modify a VM • Run the script • Copy the new image files to an http server • Insert metadata URL and hash into a request Shakedown Applications MotifnetworkScaled Porting Images Between Testbeds ADCIRC Initial Performance Results • Scaling of ADCIRC MPI application, 4-16 VMs • With 100 Mb/s, performance is better, but no scaling; placement issues? • Poor Scaling • ADCIRC (Storm surge model) • Tightly coupled MPI application • Current running on ExoGENI and InstaGENI • MotifNetwork (Computational Genomics) • Running on ExoGENI • Scaling to 100+ cores • Storage Limitations on InstaGENI • Remaining Challenges • Obtaining larger amount of storage on InstaGENI (~50 GB required for Motifnetwork) • Starting significant numbers of VMs on InstaGENI (limit ~16) • Future GECs • Performance evaluations • Scaling of ADCIRC MPI application, 4-16 VMs, for InstaGENI vs. ExoGENI for medium bandwidth case (500 Mb/s) • Performance on ExoGENI is 35–48% better • With larger scale performance difference is greater The 20th GENI Engineering Conference June 21-24, 2014 University of California Davis, Davis, CA • Porting images EG to IG • Successfully ported images from EG to IG • Too challenging to be recommended to most users • Porting IG to EG • Should be possible with ExoGENI snapshot script