Kubernetes Virtualization Scheduler Integration
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Solution Overview
Problem
The integration of Kubernetes control plane into a virtualization computing system leads to scheduling complexities due to conflicting scheduling algorithms between the Kubernetes scheduler and the virtualization scheduler, resulting in inefficiencies in workload management.
Innovation Solution
A method is introduced where the orchestration control plane receives a workload specification, selects nodes in cooperation with a virtualization management server, and deploys the workload on a host cluster, utilizing a slave scheduler that communicates with a master scheduler to ensure node selection based on workload requirements, thereby integrating Kubernetes with virtualization management for efficient resource allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If both Kubernetes scheduler and virtualization scheduler are used independently, then each scheduler can manage its own workload placement, but scheduling conflicts arise between the two schedulers leading to inefficiencies
Solution Approach 1:
The patent merges the Kubernetes scheduler and virtualization scheduler into a unified scheduling framework where the virtualization management server acts as a master scheduler and the Kubernetes control plane acts as a slave scheduler. This combination allows both scheduling functions to operate together without conflicts, resolving the contradiction between scheduling flexibility and scheduling complexity.
Solution Approach 2:
The patent introduces an intermediary communication mechanism between the two schedulers through defined APIs and message exchanges. The Kubernetes scheduler communicates workload requirements to the virtualization scheduler, which then makes placement decisions. This intermediary approach allows coordinated scheduling while maintaining the functional independence of both schedulers.
2Ease of operation
If Kubernetes control plane is integrated into virtualization computing system, then workload management becomes unified, but scheduling conflicts arise between competing scheduling algorithms
Solution Approach 1:
The patent inverts the traditional scheduling hierarchy by making the virtualization management server the master scheduler and the Kubernetes control plane the slave scheduler. This inversion allows the virtualization layer to maintain authority over resource allocation while Kubernetes manages application-level scheduling, preventing algorithm conflicts and ensuring reliable coordinated scheduling.
Data Source
AI summary
An example method of scheduling a workload in a virtualized computing system including a host cluster having a virtualization layer directly executing on hardware platforms of hosts is described. The virtualization layer supports execution of virtual machines (VMs) and is integrated with an orchestration control plane. The method includes: receiving, at the orchestration control plane, a workload specification for the workload; selecting, at the orchestration control plane, a plurality of nodes for the workload based on the workload specification, each of the plurality of nodes implemented by a host of the hosts; selecting, by the orchestration control plane in cooperation with a virtualization management server managing the host cluster, a node of the plurality of nodes; and deploying, by the orchestration control plane in cooperation with the virtualization management server, the workload on a host in the host cluster implementing the selected node.