Heterogeneous Node Group Efficiency Management
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Solution Overview
Problem
Conventional server cluster managers in datacenters deploy workloads inefficiently in heterogeneous node groups, leading to suboptimal power usage and increased costs due to mismatched power management settings across node devices of different classes, resulting in some nodes being underutilized or performing workloads inefficiently.
Innovation Solution
An Information Handling System (IHS) with a heterogeneous node group efficiency management engine that ranks node devices based on power consumption and performance, groups them into subsets, identifies optimal node devices for workload deployment, and deploys workloads on those devices that offer higher power efficiency within the node group.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workloads are randomly deployed on server devices within a cluster, then workload distribution is simplified, but power consumption efficiency deteriorates
Solution Approach 1:
The patent applies local quality by assigning different power management modes (performance, power savings, balanced) to different node devices based on their specific characteristics and workload requirements. Instead of uniform treatment, each node receives customized power management settings that match its hardware capabilities and operational needs, thereby optimizing power consumption efficiency while maintaining simple deployment processes.
2Reliability
If heterogeneous node groups use individual power management settings, then node-specific optimization is achieved, but overall datacenter efficiency deteriorates due to node underutilization
Solution Approach 1:
The patent merges individual node power management settings with group-level workload deployment decisions. By combining heterogeneous node devices into unified node groups and applying coordinated power management strategies across the group, the system achieves both node-specific optimization and overall datacenter efficiency. Workloads are strategically assigned to specific nodes within groups based on power efficiency metrics, preventing underutilization while maintaining individual node optimization.
Solution Approach 2:
The patent implements feedback mechanisms that continuously monitor node device performance, power consumption, and workload characteristics. This feedback information is used to dynamically adjust power management modes and workload assignments, ensuring that heterogeneous node groups maintain optimal efficiency. The system adapts to changing conditions by rebalancing workloads and adjusting power settings based on real-time performance data.
3Loss of energy
If node devices are ranked and grouped based on power consumption and performance, then power efficiency is improved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-ranking node devices based on their power consumption characteristics and performance capabilities before workload deployment. Node devices are pre-grouped into heterogeneous node groups with assigned power management modes, so that when workloads arrive, they can be quickly assigned to appropriate nodes without complex real-time calculations. This preliminary classification reduces operational complexity while maintaining effective power efficiency optimization.
Data Source
AI summary
A datacenter includes a heterogeneous node group efficiency management system that is coupled to node devices and that, based on a power consumption and performance associated with each node device, generates node group rankings that it uses to group subsets of the node devices into respective heterogeneous node groups. The heterogeneous node group efficiency management system then identifies workload characteristic(s) and performance requirement(s) for a workload provided for deployment, identifies a first heterogeneous node group that satisfies the performance requirement for the workload, and identifies first node device(s) that are included in the first heterogeneous node group and that are configured to perform the first workload having the workload characteristic(s) with a higher power efficiency than second node device(s) that are included in the first heterogeneous node group. The heterogeneous node group efficiency management system then deploys the workload on the first node device(s) in the first heterogeneous node group.