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GENI Science Shakedown Experiments GENI Science Shakedown Experiments

GENI Science Shakedown Experiments - PowerPoint Presentation

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GENI Science Shakedown Experiments - PPT Presentation

Paul Ruth Anirban Mandal Brian Blanton Jeffery Tilson The 20th GENI Engineering Conference June 2124 2014 University of California Davis Davis CA ExoGENI Custom Images ID: 635459

images exogeni performance image exogeni images image performance metadata scaling instageni adcirc mpi script http vms emulab running 100

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Slide1

GENI Science Shakedown Experiments

Paul Ruth,

Anirban

Mandal, Brian Blanton, Jeffery Tilson

The

20th GENI Engineering Conference June 21-24, 2014 University of California Davis, Davis, CA

ExoGENI

Custom

Images

ExoGENI

InstaGENI

Required ConfigurationNEuca tools. Available rpm, deb, and source. Emulab client side tools. Source only.Image FormatAMI, AKI, and ARI (standard formats).Frisbee disk image (Emulab format).RegistrationHosted on any http server. Requires XML metadata.Pre-registered with Emulab.Image DebuggingFew errors seen by user. No access to console log.Many errors and console log available to user.

Porting Images

Between

Testbeds

Motifnetwork

Scaled

Images On Each

Testbed

Porting

images EG to

IG

Successfully ported images from EG to IGToo challenging to be recommended to most usersPorting IG to EG Should be possible with ExoGENI snapshot script

New script to snapshot ExoGENI VMsImages defined by XML metadata fileImage (AMI)Kernel (AKI)Ramdisk (ARI)Hosted on HTTP serverSnapshot script creates: image, kernel, ramdisk, metadata from running VMHigh level stepsCreate/modify a VMRun the scriptCopy the new image files to an http serverInsert metadata URL and hash into a request

Shakedown

Applications

ADCIRC

(Storm surge model)

Tightly coupled MPI applicationCurrent running on ExoGENI and InstaGENIMotifNetwork (Computational Genomics)Running on ExoGENIScaling to 100+ coresStorage Limitations on InstaGENIRemaining ChallengesObtaining larger amount of storage on InstaGENI (~50 GB required for Motifnetwork)Starting significant numbers of VMs on InstaGENI (limit ~16)Future GECsPerformance evaluations

ADCIRC Initial Performance Results

Scaling

of ADCIRC MPI application, 4-16 VMs

With 100 Mb/s, performance is better, but no scaling; placement issues?

P

oor Scaling

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% betterWith larger scale performance difference is greater