• Begins with a Management Instance that is launched in your own AWS account.  

  • A simple but powerful Web-UI is then used to create a base HPC environment with Scheduler, Login instance and storage that you choose.  

  • After the HPC environment is created you can submit Torque(PBS) or Slurm jobs through CCQ, a meta-scheduler that is delivered with CloudyCluster.  

  • Once submitted, CCQ inspects the job and instantiates the instances dynamically and once ready releases the job to Torque(PBS) or Slurm to process the job.  

  • When all the jobs for that instance type are complete, CCQ tears down the instances before the billing cycle is complete, so you only pay for the runtime you need.

CloudyCluster eases the burden of creating an HPC or Big Data Infrastructure in the Cloud.  It has been aptly called a "Mobile Web Driven Data Center in the Cloud."


CloudyCluster also allows you to collaborate in the Cloud with others by simply and easily tying to popular cloud collaboration platforms, enabling Virtual Organizations and the Long Tail of Computational Science and Cloud Based Cyberinfrastructure.

CloudyCluster is designed to look and feel similar to standard HPC environments, with login instances, scheduler, scratch storage and with the added capabilities of elastic compute instance creation.


We'll be attending
the AGU Fall Meeting

December 11-15, 2017, New Orleans, LA


If you're attending the largest earth and space science meeting in the world, come see us at the Omnibond booth 1245 for a personal demo of CloudyCluster and information on how we can help meet your geophysical HPC and Parallel Computation needs in the Cloud.  #AGU17