Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Support Stochastic Model for Instance Start Time in Simulations #180

Open
Tracked by #249
masih opened this issue Apr 29, 2024 · 0 comments
Open
Tracked by #249

Support Stochastic Model for Instance Start Time in Simulations #180

masih opened this issue Apr 29, 2024 · 0 comments
Labels
testing Related to testing and validation

Comments

@masih
Copy link
Member

masih commented Apr 29, 2024

The current implementation of our simulation uses a synchronised global time to kickstart the next GPFT instance with a configurable EC stabilisation delay. However, this approach may not accurately capture the variability that can occur in real-world scenarios.

In reality, instance start times across participants are likely to be random and unpredictable. To better reflect this, it would be ideal if our simulation allowed configuration of a stochastic model that introduces randomness into the instance start time for each participant.

Acceptance Criteria

  1. The simulation should allow configuration of a stochastic model for instance start time.
  2. The stochastic model should introduce randomness into the instance start time for each participant.
  3. The simulation should be able to generate multiple instances with different start times based on the configured stochastic
    model.
  4. The EC stabilisation delay should still be configurable and apply uniformly across all participants.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
testing Related to testing and validation
Projects
Status: No status
Development

No branches or pull requests

2 participants