IPU Workload Distribution for SLA-Aware Stage Migration
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Solution Overview
Problem
Time-sensitive applications face challenges in meeting service level agreements (SLAs) due to hardware oversubscription, leading to inefficient use of resources and potential catastrophic failures, while software-managed platforms struggle to effectively monitor and manage SLAs across hardware resources.
Innovation Solution
Implementing infrastructure processing units (IPUs) with tracking, migration, and telemetry circuitry to monitor workload stages, predict SLA violations, and dynamically allocate or migrate workload stages to available resources across systems, ensuring timely completion without impacting execution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If hardware resources are oversubscribed to increase productivity, then resource utilization improves, but service level agreement compliance deteriorates
Solution Approach 1:
The system performs preliminary actions by predicting SLA violations before they occur. The prediction circuitry analyzes current workload stages and resource allocation to forecast potential SLA breaches, allowing the system to proactively reallocate resources or migrate workload stages before the violation happens, thus maintaining both high resource utilization and SLA compliance
Solution Approach 2:
The system implements continuous feedback loops where monitoring circuitry tracks actual workload execution and resource usage, comparison circuitry compares this against SLA requirements, and prediction circuitry uses this feedback to anticipate future violations. This closed-loop feedback enables dynamic adjustment of resource allocation to maintain SLA compliance while maximizing productivity
2Speed
If workload stages are distributed across multiple compute devices to improve performance, then processing speed increases, but system complexity increases
Solution Approach 1:
The patent introduces an infrastructure processing unit (IPU) as an intermediary between the distributed workload stages and hardware resources. The IPU centralizes the complex functions of monitoring, predicting, and managing workload distribution across multiple compute devices, thereby enabling high processing speed through parallelization while containing system complexity within the IPU rather than spreading it across all components
Solution Approach 2:
The system implements self-service mechanisms where the prediction and migration circuitry autonomously manage workload distribution without requiring external intervention. The system automatically monitors its own state, predicts potential SLA violations, and executes migrations or resource reallocations independently, reducing the operational complexity of managing distributed workloads
3Adaptability or versatility
If software-managed platforms are used to monitor SLAs, then flexibility improves, but monitoring effectiveness deteriorates
Solution Approach 1:
The patent replaces software-managed monitoring with hardware-based monitoring circuitry integrated into the infrastructure processing unit. This hardware implementation provides precise, deterministic measurement of workload stage execution and resource allocation, eliminating the inefficiencies and limited precision of software-based monitoring while maintaining flexibility through configurable monitoring parameters
Solution Approach 2:
The monitoring function is segmented into dedicated hardware circuitry within the IPU that specifically monitors infrastructure resources and workload stages. This segmentation allows the monitoring system to focus exclusively on SLA compliance metrics with high precision, while the flexible software layer can be configured for different SLA requirements without compromising measurement accuracy
Data Source
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AI summary
System and techniques for infrastructure managed workload distribution are described herein. An infrastructure processing unit (IPU) receives a workload that includes a workload definition. The workload definition includes stages of the workload and a performance expectation. The IPU provides the workload, for execution, to a processing unit of a compute node to which the IPU belongs. The IPU monitors execution of the workload to determine that a stage of the workload is performing outside of the performance expectation from the workload definition. In response, the IPU modifies the execution of the workload.