ONGOING ACTIVITIES

[laszewsk]

List of ongoing activities, please update whenever you have a new task or you completed some things. Please be reminded that when you edit at the same time this does not work, so coordinate ...

Check-in issues if you have been assigned somethings and add here

• Gregor
  • arch.md
  • python install
  • python cloudmesh
  • books: 516, python, cloud
  • internal: cms commands  #318 cms install
• Niranda and Vibhatha
  • Artificial intelligence service with REST #243 AI REST
  • Artificial intelligence service with REST #243 Scikit learn intro
• Niranda
  • fix references in architecture
  • REST
    • revisit AI REST example - kmeans (done)
    • add openAPI 3 section (done)
    • revisiti AI section
    • fix error when compiling "cloud" book sec:swagger-verify
    • openapi demo #76 openapi demo (done)
  • Typo #461 Spelling
  • Main Frame definition and discussion  #395 Mainframe
  • Work with students in class on MiniProject: Mongo install on Windows 10 #337, MiniProject: Windows 10 compatibility #334
  • Work with student so we could automate conda package creation MiniProject: conda package for cloudmesh #333
  • MongoDB #302 Mongo
  • mongodb: 3.7.2 #329 Mongo
  • Twister2 #301 has time twister2
  • internal: bigdata missing improvements #144 virsh
  • ssh port forwardsing and .ssh/config Open: ssh port forwarding section #146, Section: Port forwarding #232
• Bo
  • Hadoop MapReduce
  • Spark Spark #300
  • Hadoop HDFS HDFS: improve HDFS material #299
  • HBASE on AWS, Azure
  • Hadoop and cloudmesh Hadoop virtual cluster installation using cloudmesh #245
  • AWS EMR
  • Go Rest
  • Work with students on #Open: Windows subsystems for Linux #262, gregor experimented with this this is trivial
  • Ubuntu on usb stick Ubuntu on an USB stick for Windows 10 #253 where host can be any os
• Vibhatha
  • Colab Tutorial
  • tutorial on Romeo cluster using cms iu and other tools
  • Jupyterhub jupyterhub on kubernetes #312
  • Week 4 Assignment 4
    • Deep Learning Tutorial 1 (MNIST Method 1)
    • Deep Learning Tutorial 2 (MNIST Method 2)
    • Deep Learning Tutorial 3 (MNIST Method 3)
    • Deep Learning Tutorial 4 (MNIST Method 4)
  • Tutorial on Benchmark
  • Week 5 Assignment 5 Benchmark
  • Deep Learning Lecture Notes Preparation
  • How to use github, work with Gregor on that Internal: Github video use  #266
  • Grading Assignment 1
  • E534 Cloud Section lecture videos merged into E-books #180