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  • Setting the scope for the discussion
    • IaaS? PaaS?
    • Workloads and workload characteristics?
  • Definitions - Are these the right definitions?
    • Cloud
      • Multi-cloud environment: clouds from multiple different public cloud providers
      • Hybrid-cloud environment: a mix of private and public clouds
      • Hybrid-multi-cloud: private and multiple public cloud providers
    • Edge - How deeply do we want to go into the edge space? What do we want to/ do not want to define?
      • Edge: EUD, IoT devices
        • From limited to significant compute capacity, storage and networking bandwidth
      • Edge Site: Cloud network periphery or GW
        • Every place where Edge devices connect to the cloud network
        • May consist of limited to significant compute capacity, storage and networking bandwidth nodes for aggregating, processing and filtering data at  the edge, including data from dumb devices
        • Zero Ops
      • Core Site: in a DC, other large sites (IDC, Co-Lo, etc.)
      • Edge Cloud: Hybrid multi cloud
        • From single node to small cluster of nodes (HA, resiliency, self-healing, ...)
        • Technology: micro k8s, microstack (single package of all key OSTK services (Keystone, Glance, Nova, Neutron (OVN), Cinder, Horizon, Clustering, monitoring)
    • Single Plane of Glass: for seamless management of orchestration of workloads in a hybrid multi-cloud
      • In the last vF2F in February 2021, we discussed the Operator Platform and the need for platform agnostic APIs. Today we want to discuss what other characteristics need to be considered.
  • If discussing workloads
    • Are these the workload characteristics that should be specified when requesting resources?

    • Can schedulers take these characteristics into account when identifying the site, node, .. to host the workload?

    • Workload Characteristics:

      • Resource sizing

      • Storage IOPS

      • Network Latency

      • HW/SW Accelerators

      • Special HW or SW

      • Affinity

      • ... 

  • Multi-cloud considerations
    • Operational Model
    • Deployment Model (it can facilitate on how the workloads are distributed and configured)
    • Proposals for multi-cloud support (SDO related)

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