JIRIAF Meeting Oct. 12 2023

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Agenda:

1. Announcements
2. Current status of the JRM
   1. Running JRM as a SWIF Job
   2. SSH tunnel from the processing node (JRM) to the JIRIAF server, running Kubernetes API server.
   3. "Hello World" workflow within the JRM.
   4. Digital tween for an abstract actor of the data processing system.
      1. Start with a simple digital agent for a processor node (JRM)
      2. Use queuing theory to define the state of the JRM in terms of
         1. traffic intensity, time data quantum spends in a data pipeline, etc.
         2. Use workflow-provided measures to define data arrival and servicing rates
         3. Use other indirect measures (e.g., reassembly engine fifo levels for streaming processing case) to estimate these rates if workflow does not provide information.
      3. Define physical actor control channels.
3. JIRIAF Available Resources DB Table
   1. Suggested schema:
      1. computing_suite (e.g., HPC, GPU, etc.)
      2. resource_ID (unique identifier for each resource)
      3. resource_type (e.g., CPU, GPU, memory, etc.)
      4. number_of_cores
      5. memory
      6. available_walltime (decreasing over time)
         1. Available wall time will decrease over time.
         2. The wall time decrease below a certain threshold will trigger resource release.
         3. The wall time for the opportunistic resource (e.g., commercial cloud resource) will be clearly indicated in the table.
4. JIRIAF User Resource Requests DB Table
   1. Suggested schema:
      1. name (user or group)
      2. resource_type (e.g., CPU, GPU, memory, etc.)
      3. number_of_cores
      4. memory
      5. wall time
      6. workflow_container_info (e.g., container ID, Docker image, etc.)
      7. data_type (streaming or batch files)
      8. can_it_be_horizontally_distributed/scaled (yes/no)
   2. Important question: Who is responsible for data provisioning, JIRIAF, or user workflow management system?
5. JIRIAF Workflow Resource Matching Service (JMS)
   1. Choice of technology/language: Python?
   2. The algorithm must be able to fit multiple user requests into a bigger resource (workflow Tetris).
6. Running CLAS12 Data-Stream Processing Pipeline
   1. Docker image for the CLAS12 data-stream processing pipeline.
7. Status of the Front-End
   1. JIRIAF Entry Web Page
   2. Connection to MariaDB Back-End
   3. JIRIAF REST API
   4. Authentication of JIRIAF Users
8. AOT

Useful References

• JIRIAF Meetings
• JIRIAF Channel

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