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  • Seed code 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: 
    • Checking the number of zones of the target Cloud Region to solve the Anti-affinity rules.
    • Checking available capacity of each zone to solve Affinity rule.
    • Checking available host profiles of each zone to solve flavor matching (i.e., Host-Aggregates) (Stretch Goal).
  • 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 (Cloud Region) to be able manage several distributed DC locations/zones. 
  • Leverage capacity alerts (significant change in capacity) from Model-driven Distributed Analytics work.

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