CPU Core Utilization Reporting for Polling Idle Time Detection
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Solution Overview
Problem
Existing systems inaccurately measure CPU utilization of cores, leading to inefficient resource management and utilization in cloud computing environments.
Innovation Solution
A core utilization reporting system that detects and reports the actual CPU utilization by distinguishing between processing time and idle time during polling loops, enabling accurate measurement of core performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CPU utilization is measured using traditional polling methods, then resource management can be simplified, but measurement precision deteriorates due to inability to distinguish between polling time and processing time
Solution Approach 1:
The patent segments the polling process into distinct phases: polling time (when the core checks for work) and processing time (when the core actually executes tasks). By tracking timestamps for each phase separately, the system can accurately measure CPU utilization without requiring complex instrumentation, thus improving measurement precision while keeping the implementation relatively simple.
Solution Approach 2:
The patent introduces an intermediary measurement mechanism that tracks timestamps at specific points in the polling loop. This intermediary timing infrastructure allows the system to distinguish between time spent polling and time spent processing, enabling accurate utilization metrics without fundamentally redesigning the polling architecture.
2Measurement precision
If polling frequency is increased to improve measurement accuracy, then CPU utilization measurement becomes more precise, but loss of time increases due to more frequent polling cycles
Solution Approach 1:
The patent implements feedback by measuring and reporting the actual ratio of processing time to total poll time. This feedback mechanism allows the system to identify when polling frequency is excessive and adjust accordingly, balancing measurement accuracy needs against time loss. The feedback loop enables dynamic optimization of polling behavior based on actual workload conditions.
Solution Approach 2:
The patent changes the parameter being measured from simple polling count to a normalized utilization ratio that accounts for both polling time and processing time. By expressing utilization as a percentage that factors in the actual work completed relative to total time spent in the poll loop, the system can optimize polling frequency based on real performance data rather than fixed intervals.
3Productivity
If traditional CPU utilization metrics are used, then ease of operation is maintained, but productivity deteriorates due to inefficient resource allocation based on inaccurate metrics
Solution Approach 1:
The patent implements self-service by having the polling system automatically track and report its own utilization characteristics. The system monitors its own behavior during polling loops and generates accurate utilization metrics without requiring external monitoring infrastructure or complex setup. This self-measuring capability improves resource allocation efficiency while maintaining operational simplicity.
Solution Approach 2:
The patent replaces traditional mechanical counting methods of CPU utilization with a time-based measurement approach that tracks actual processing versus polling time. This substitution of measurement methodology enables more accurate productivity assessment without requiring complex monitoring systems, as it leverages existing timestamp functionality already present in modern operating systems.
Data Source
AI summary
Systems and methods for determining and reporting actual utilization of a core of a central processing unit (CPU) of a host. Prior to implementation of aspects of the present disclosure, running a poll querying endpoints of a process for work appears to the host's operating system as busy work (e.g., taking full use of the core for the poll duration). However, only a percentage of the duration of the poll is used to process a task of the process, where the remaining duration of the poll is spent querying the endpoints (idle time) and the core is not performing a task. Accordingly, a core utilization reporting system and method automatically detects the processing time of the tasks of a process, determines actual CPU utilization of the core based on a percentage of the time the core is busy polling (doing effectively no work) versus doing actual work (processing a task).