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- Seed code for placement decisions for OpenStack cloud and evaluate in an OpenStack testbed. Later, extend to the other clouds including Azure and AWS.
- Capacity & Capability checking for an OpenStack cloud: 1) Checking the number of zones of the target Cloud Region to solve the Anti-affinity rules, 2) Checking available capacity of each zone to solve Affinity rule, 3) Checking available host profiles of each zone to solve flavor matching (i.e., Host-Aggregates).
- Placement decisions for Affinity and Anti-Affinity among zones of target Cloud Region. Optionally, decisions go into compute hosts (for private cloud case).
- Defining Affinity and Anti-affinity rules in Policy (Stretch Goal). Until this is ready, evaluate with a manual/hard-coded policy.
- Specifying Affinity and Anti-affinity rules in homing/placement request (Stretch Goal). Until this is ready, evaluate with a manual/hard-coded specification.
- Distributed cloud modelling immediately relevant to F-GPS - a single cloud control plane to be able manage several distributed DC locations/zones.
Leverage capacity alerts (significant change in capacity) from Model-driven Distributed Analytics work.
Impacted Projects
Project | PTL | JIRA Epic / User Story* | Requirements |
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OOF | Sarat Puthenpura |
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Multi-VIM/Cloud |
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A&AI |
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