Intent-Driven Processor Power Control for Heterogeneous Edge Workloads
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Solution Overview
Problem
Current orchestration solutions for edge computing and IoT networks face challenges such as vendor-lock, incorrect resource provisioning, and difficulty in managing heterogeneous hardware platforms, leading to sub-optimal performance and higher costs due to overprovisioning.
Innovation Solution
Implementing an intent-driven power management system that maps service level objectives across systems and resources, using a meta-language to express key performance indicators and allow for flexible, nested, and graduated Service Level Agreements (SLAs) to optimize resource allocation and adapt to dynamic workloads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If traditional orchestration solutions are used for edge computing and IoT networks, then resource provisioning can be achieved, but vendor-lock occurs and hardware details must be managed manually
Solution Approach 1:
The patent introduces an intent-driven orchestration layer that acts as an intermediary between service level objectives and hardware resources. This layer translates high-level service requirements into hardware-specific configurations, eliminating the need for users to directly manage hardware details while maintaining compatibility across diverse hardware platforms through standardized interfaces.
Solution Approach 2:
The system implements a universal orchestration framework that can manage multiple types of hardware platforms (x86, ARM, RISC-V) through a common interface. The intent-driven approach allows the same orchestration logic to work across different hardware architectures, providing vendor-agnostic resource provisioning while adapting to specific hardware capabilities.
2Measurement precision
If manual resource provisioning is performed, then specific hardware configurations can be managed, but overprovisioning occurs leading to higher costs
Solution Approach 1:
The patent implements feedback mechanisms that continuously monitor service level objective compliance and resource utilization. The system uses this feedback to dynamically adjust resource allocation, ensuring that resources are provisioned precisely when and where needed. This prevents both overprovisioning (wasting resources) and underprovisioning (failing to meet service objectives).
Solution Approach 2:
The orchestration system transitions from static, manual resource provisioning to dynamic, automated resource allocation. Resource provisioning is continuously adapted based on changing service requirements and actual utilization patterns, allowing the system to optimize resource usage in real-time and eliminate waste from fixed overprovisioning scenarios.
3Adaptability or versatility
If heterogeneous hardware platforms are supported, then versatility is improved, but management difficulty increases
Solution Approach 1:
The intent-driven orchestration layer serves as an intermediary that abstracts away hardware-specific management complexities. Users interact with standardized service level objectives rather than hardware details, while the system automatically handles the translation to hardware-specific configurations, making heterogeneous platform management as easy as homogeneous management.
Solution Approach 2:
The patent segments the orchestration process into distinct layers: an intent-driven service level objective layer, a translation layer that maps objectives to hardware specifics, and the hardware execution layer. This segmentation allows each layer to be independently managed and optimized, simplifying the overall management of heterogeneous hardware platforms.
Data Source
AI summary
Various systems and methods for implementing intent-driven power management are described herein. A system includes: a power monitoring unit to collect real-time telemetry of a processor on a compute node; and a power level controller to: receive a power intent for execution of an application on the compute node; configure a power level of the processor of the compute node based on the power intent, the processor to execute the application; set an initial execution priority of the application on the compute node based on the power intent; and modify the initial execution priority based on the power intent and the real-time telemetry of the compute node.