Storage System Data Collection Policy for Bandwidth Reduction
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Solution Overview
Problem
Conventional storage management applications collect excessive data, leading to a heavy load on storage systems due to high network bandwidth and processing power requirements, which negatively affects performance and storage capacity.
Innovation Solution
Implementing a data collection policy that allows users to specify the type and scope of performance data to be collected, filtered by attributes such as communication protocols and applications, reducing the amount of data collected and stored, and enabling more efficient data management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional storage management applications collect all performance data, then comprehensive performance statistics are obtained, but network bandwidth and processing power requirements increase heavily
Solution Approach 1:
The patent extracts and collects only the specific performance data that is actually needed by the administrator, rather than collecting all available performance data. This is achieved by allowing administrators to specify which performance statistics are relevant to their needs, thereby extracting only the necessary information and leaving out irrelevant data.
Solution Approach 2:
The patent implements partial action by collecting a subset of performance data rather than all available data. The system performs data collection partially based on administrator-defined requirements, collecting only the portion of data that is necessary for specific monitoring purposes while avoiding excessive data collection.
2Loss of information
If a large amount of data is collected, then more performance statistics are available, but storage capacity requirements increase
Solution Approach 1:
The system extracts and stores only the specific performance data that administrators have identified as relevant to their monitoring needs. By allowing users to specify which performance statistics they require, the system extracts only the necessary data for storage, reducing the overall storage capacity requirement while maintaining availability of needed information.
3Reliability
If all performance data is collected, then complete monitoring coverage is achieved, but storage system performance deteriorates
Solution Approach 1:
The patent extracts and collects only the performance data that is actually needed for monitoring purposes, as specified by the administrator. This selective extraction maintains reliable monitoring coverage for the specific metrics of interest while removing unnecessary data collection operations that would otherwise deteriorate storage system performance.
Solution Approach 2:
The system implements partial monitoring action by collecting only the subset of performance data that is necessary for effective system monitoring. This partial action approach maintains adequate monitoring coverage for critical metrics while avoiding the performance deterioration caused by collecting and processing excessive data.
Data Source
AI summary
Example embodiments provide various techniques for collecting data associated with the performance of a storage system. In one method, an attribute associated with the storage system is detected and a data collection policy associated with the attribute is identified. Here, the data collection policy defines a type of data associated with the performance to be collected. With the data collection policy identified, the data are then collected based on the data collection policy.