Asynchronous Remote Copy Delay Management
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Solution Overview
Problem
Existing asynchronous remote copy systems cannot determine the intrinsic cause of delay deterioration, which hinders precise measures to enhance remote copy reliability.
Innovation Solution
A management system that displays delay duration and average-of-writing-quantity graphs, allowing administrators to infer the intrinsic cause of delay deterioration by comparing these graphs, thereby identifying whether the cause is an increase in throughput or a change in processing mode.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If asynchronous remote copy is implemented to copy data from primary volume to secondary volume, then data redundancy and reliability are improved, but delay duration between primary and secondary storage increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing the average writing quantity for each primary volume before delay deterioration analysis. This pre-computed information is then readily available when delay deterioration occurs, enabling rapid cause identification without adding real-time processing overhead to the remote copy operation.
2Reliability
If monitoring of delay duration is implemented, then remote copy reliability management is improved, but the ability to identify intrinsic cause of delay deterioration is insufficient
Solution Approach 1:
The patent introduces an intermediary element - the average writing quantity metric - that mediates between the raw delay duration measurement and the intrinsic cause identification. By comparing delay duration trends with average writing quantity trends, the system can infer whether throughput increase or processing mode change caused the delay, thus recovering the lost intrinsic cause information.
Solution Approach 2:
The patent implements feedback by using the comparison result between delay duration graph and average writing quantity graph to provide diagnostic information about the intrinsic cause. This feedback loop allows administrators to understand not just that delay occurred, but why it occurred, enabling targeted corrective actions.
3Measurement precision
If detailed monitoring information is collected to identify intrinsic cause, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent extracts only the essential information needed for cause identification - the average writing quantity per primary volume - from the complex remote copy system operations. By focusing on this single key metric rather than monitoring all possible parameters, the system achieves precise cause identification while keeping the management system relatively simple.
Data Source
AI summary
A management system comprises management information. The management information includes a plurality of delay durations that respectively correspond to a plurality of times, and a plurality of metric values that respectively correspond to the plurality of times for a primary volume. The management system, based on the management information, displays a delay duration graph (521) representing a fluctuation in delay duration associated with the passage of time and an average-of-writing-quantity graph (524) representing a fluctuation in average of writing quantity associated with the passage of time, in a mode that enables comparison between the two graphs. The average of writing quantity is an amount of data written to the primary volume per write request.