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From "Lee, Seungwon (398K)" <>
Subject Re: AIST/CMDA meeting minutes 6/8/16
Date Wed, 08 Jun 2016 23:57:35 GMT
Hi Lei,

Thanks for the project meeting minutes. It is good to see that we are making a good progress
toward the summer school preparation.

Dr. Seungwon Lee
Technical Group Supervisor
Science Data Modeling and Computing (398K)
Instrument Software and Science Data System Section (398)
Jet Propulsion Laboratory
California Institute of Technology
Tel: +1-818-393-7720
Cell: +1-818-397-2284

From: <Pan>, Lei Pan <<>>
Date: Thursday, June 9, 2016 at 12:51 AM
To: Seungwon Lee <<>>
Cc: "Tang, Benyang (398K)" <<>>,
"Zhai, Chengxing (398K)" <<>>,
"Kubar, Terry (329J-Affiliate)" <<>>,
Lei Pan <<>>, "<>"
Subject: AIST/CMDA meeting minutes 6/8/16

. Chengxing
  . data: getting the set for 2016 summer school
              (need Benyang’s help in running a script to get the ranges)
              may need to bring in more model data (possible data time range extension)
              discussed the size of source data files (as big as 1 GB)
              do we need to break them? decide after testing on Amazon
              need to make some files cmip5 format (done, need to check for more)
              will announce the availability of data 2016
  . plot resolution: using python matplotlib to solve the problem
              updated conditional sampling service
  . added data saving capacity for conditional sampling

. Benyang
  . installed new packages for climate sciences (anaconda, ferret, etc.)
  . where is the latest
  . demoed new feature of “customization,” “interactive Map plotting”
    will repeat this feature to other services

. Lei
  . pushed the latest Docker container from JPL to Docker hub
    so the CMU team (Qihao) can pick up
  . pulled the Docker container to the Amazon Cloud instance
  . configured port forwarding and file folder sharing on Amazon
    so the Docker container is accessible via ssh, the JPL frontend,
    and the JPL service backend
  . worked with Qihao so he can get the latest Docker container
    from JPL, and he can play the container on Amazon with
    additional ports forwarded for CMU services
  . designed with Jia the deployment strategy for the 2016 summer school
    . one Docker image with all JPL-CMU frontends and backends deployed
    . when the Docker container is up, auto-start the JPL frontend, JPL backend,
      and the CMU frontend. This is for our students
    . fire up one Amazon instance with the Docker container, and manually
      start up the CMU backend (provenance, knowledge graph, social network, etc.)
      This single instance will serve as a “virtual Einstein” for provenance collecting
    . configure to point to this virtual einstein
    . configure the MySQL db on einstein to make it the secondary db for the primary
      db on virtual einstein (optional)
  . working with Qihao on auto-start the JPL-CMU services inside the Docker
    and the Docker container inside the Amazon EC2 instance, still some
    details to figure out

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