Dynamic Resource Provisioning for Processing Nodes
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Solution Overview
Problem
Existing resource provisioning technologies face challenges in accurately determining task demands, leading to resource usage imbalances and high power consumption due to static resource allocation methods that do not account for dynamic task characteristics.
Innovation Solution
A method and apparatus for dynamic resource provisioning that involves obtaining component metric information of processing nodes and task characteristics, allowing for the selection and deployment of the most suitable nodes based on real-time resource requirements, thereby optimizing resource usage and reducing power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static resource allocation methods are used, then device complexity is reduced, but resource usage balance deteriorates and power consumption increases
Solution Approach 1:
The patent implements dynamic resource provisioning by continuously monitoring task characteristics and component metric information, allowing the system to adapt resource allocation in real-time based on actual task demands rather than using fixed static allocation methods
Solution Approach 2:
The system establishes a feedback mechanism where task characteristics are obtained during execution, compared with component metric information, and used to determine optimal processing nodes for resource allocation, creating a closed-loop control system that reduces energy waste
2Device complexity
If static resource allocation methods are used, then device complexity is reduced, but resource usage rate deteriorates
Solution Approach 1:
The system dynamically adjusts resource allocation based on real-time task characteristics and component metric information, enabling optimal matching between task demands and available resources to maximize resource usage rate
Solution Approach 2:
The patent changes the allocation parameters from static fixed values to dynamic values that are continuously adjusted based on task characteristics such as CPU usage, memory requirements, and I/O patterns, improving resource utilization efficiency
3Measurement precision
If task characteristics are not accurately determined, then measurement precision is reduced, but resource provisioning simplicity is improved
Solution Approach 1:
The system performs preliminary measurement of task characteristics during the execution phase on a first set of processing nodes, gathering data about actual resource consumption patterns before making final provisioning decisions
Solution Approach 2:
The patent introduces an intermediary measurement and analysis layer that collects task characteristics and component metric information, processes this data to determine optimal resource allocation, and then provisions resources accordingly, separating the complexity of accurate measurement from the provisioning decision-making process
Data Source
AI summary
A method of resource provisioning including obtaining component metric information of one or more processing nodes, where the one or more processing nodes form a pool of processing nodes managed by the provisioning apparatus. The method also includes obtaining task characteristics of a target task executing on one or more processing nodes of a first set, where the one or more processing nodes of the first set are selected from the pool of processing nodes. The method further includes determining one or more processing nodes of a second set from the pool of processing nodes based on the task characteristics and the component metric information and the step of deploying the target task to the one or more processing nodes in the second set.