Distributed File System Data Placement Using IO Temperature
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Solution Overview
Problem
In distributed file systems, existing data placement strategies often lead to imbalances in storage device usage, resulting in inefficient IO operations and capacity utilization, as they primarily rely on round-robin or available space policies without considering real-time IO temperature and used space ratios.
Innovation Solution
An apparatus and method that monitor performance parameters such as data access frequency and available space across storage devices in a distributed file system cluster, calculating an overall performance metric to select the most suitable storage device for data placement, balancing IO load and capacity utilization by choosing the lightly-loaded and space-available disk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If round-robin or available space policies are used for data placement, then data can be stored on storage devices, but storage device usage becomes imbalanced leading to inefficient IO operations and capacity utilization
Solution Approach 1:
The patent implements feedback mechanisms by continuously monitoring performance parameters (IO temperature, used space ratio) of storage devices and using this feedback to dynamically adjust data placement decisions. The system calculates imbalance rates based on monitored parameters and selects target storage devices that minimize imbalance, creating a closed-loop control system that adapts to changing storage conditions.
Solution Approach 2:
The patent changes the parameters used for data placement from simple round-robin or available space metrics to a comprehensive set of performance parameters including IO temperature and used space ratio. By calculating an overall performance metric that combines multiple parameters with different weights, the system transforms the data placement decision-making process to consider real-time storage device conditions.
2Measurement precision
If multiple performance parameters are monitored and overall performance metrics are calculated, then data placement accuracy improves, but system complexity increases
Solution Approach 1:
The patent segments the performance monitoring system into distinct functional modules: one module monitors IO temperature parameters, another monitors used space ratios, and a third calculates overall performance metrics. This segmentation allows each module to handle specific tasks independently, making the complex system more manageable and maintainable while achieving precise data placement selection.
Solution Approach 2:
The patent creates a universal performance monitoring framework that can handle multiple types of performance parameters (IO temperature, used space ratio, and potentially other storage metrics) through a unified approach. The overall performance metric calculation uses a standardized formula that combines different parameters with configurable weights, making the system adaptable to various storage device types and conditions.
Data Source
AI summary
An apparatus comprises a processing device configured to receive, at a given node of a distributed file system cluster, a request to store one or more portions of data and to monitor performance parameters for each storage device associated with the given node, the performance parameters comprising a first performance parameter characterizing data access frequency and at least a second performance parameter characterizing available space. The processing device is also configured to determine an overall performance metric for each of the storage devices associated with the given node based at least in part on the monitored performance parameters and to select, based at least in part on the overall performance metrics, at least one of the storage devices associated with the given node on which to store the one or more portions of data.