Data Center Resource Management via Single Performance Metric
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cloud management systems face challenges in making efficient management decisions due to the complexity of monitoring and processing vast amounts of data from multiple resources, leading to increased iterations and resource consumption, which affects service stability and quality of service (QoS).
Innovation Solution
A method that computes a single performance metric (SPM) representing the performance and efficiency of computational resources, allowing the decision-making entity to make management decisions based on analyzed performance information and predefined parameters, thereby enhancing decision quality and reducing monitoring and processing loads.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the cloud management system monitors and processes multiple performance metrics from multiple resources, then the decision quality improves, but the monitoring and processing load increases
Solution Approach 1:
The patent combines multiple performance metrics (resource utilization, service quality, energy consumption) into a single aggregated performance metric. This consolidation allows the decision-making entity to evaluate multiple resources based on one unified metric, improving decision quality while reducing the complexity of monitoring and processing individual metrics for each resource.
2Measurement precision
If the system processes vast amounts of data from multiple resources, then the management decisions become more accurate, but the time to stabilize services increases
Solution Approach 1:
By aggregating multiple performance metrics into a single metric, the system reduces the volume of data that needs to be processed for each decision cycle. This enables faster comparison and evaluation of resources, thereby reducing the time required to make management decisions and stabilize services while maintaining decision accuracy.
Solution Approach 2:
The patent transforms multiple dimensional performance data into a single unified parameter. This parameter transformation allows the decision-making entity to quickly assess resource performance without processing vast amounts of raw data, thus reducing service stabilization time while preserving decision accuracy.
3Reliability
If the cloud management system makes management decisions based on multiple metrics, then the service quality improves, but the resource consumption increases
Solution Approach 1:
The system merges multiple performance metrics including energy consumption, resource utilization, and service quality into a single aggregated metric. This allows the decision-making entity to optimize service quality while simultaneously considering resource consumption, enabling energy-efficient decisions without compromising service quality.
4Measurement precision
If the system monitors multiple performance metrics for each resource, then the performance evaluation becomes more comprehensive, but the number of iterations required increases
Solution Approach 1:
The patent consolidates multiple performance metrics into a single comprehensive metric that captures resource utilization, service quality, and energy consumption. This aggregated metric enables the decision-making entity to perform comprehensive performance evaluation in a single iteration, eliminating the need for multiple sequential assessments of individual metrics.
Data Source
AI summary
A method for managing computational resources of a data center is useable for making one or more management decisions (MD). One or more computational resources of the data center are assigned to one or more physical and/or virtual functions by MD of a decision making entity (DME). The MD are based on collected performance information of the one or more computational resources. The collected performance information is analysed considering one or more predefined performance parameters. A single performance metric (SPM) is computed representing performance and efficiency of the DME using a result of the analysis. The SPM is used by the DME for making the MD.


