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How to run MVS on a Raspberry. Or how to have fun, and learn new things, by Running Old Technology on New Technology


Presentation

MVS 3.8J was released in 1981, you may be surprised to learn that not only is it freely available but that it also runs extremely well on the latest technology available today.

This fun session will show you how easy it is to obtain and run this iconic operating system on a Raspberry Pi, in a Cloud and on Windows. This is all done by exploiting the freely available Hercules mainframe emulator along with the original IBM operating system code. The objective behind the session is to demonstrate using a live demo where to find these great free resources and how to get MVS downloaded and IPLed in minutes.

The deployed MVS environment provides a great way to explore a true heirloom which includes the original MVS and JES2 source code as well as many languages including COBOL, C, PL/1, PASCAL and, of course, our favourite Assembler. It’s also an excellent way of getting into the open source world and exploiting new technology as an educational tool.

So, unless you have a spare z14 in your garage along with a licensed copy of z/OS come along to this session and see what you can do for free (well almost) in your spare time.

 

(PI)

Stream: New Technologies
Room: Hockenheim
Time: 16:30 - 17:30

Attachments

PI Attachments

Speakers


  • Andrew Gadsby at SAS
  • First mainframe 370/168. Andrew spent many years in the UN*X world working for a number of vendors including Digital, Sequent and HP before rediscovering the mainframe when he joined IBM to work on new workloads for mainframes. Since 2012 Andrew has worked for SAS where he helps customers make better use of data held on their mainframes.


    Email: andrew.gadsby@sas.com

  • Andrew Gadsby at SAS
  • First mainframe 370/168. Andrew spent many years in the UN*X world working for a number of vendors including Digital, Sequent and HP before rediscovering the mainframe when he joined IBM to work on new workloads for mainframes. Since 2012 Andrew has worked for SAS where he helps customers make better use of data held on their mainframes.


    Email: andrew.gadsby@sas.com

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