Cache Flush Optimization via Ephemeral Data Classification

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Solution Overview

Problem

Data storage systems face inefficiencies in cache flush operations, particularly when mirroring data between primary and redundant servers, leading to resource wastage and potential service interruptions due to the need for synchronous data replication, which consumes network bandwidth and processing capacity.

Innovation Solution

Implement a system that caches ephemeral data temporarily and waits for specific events to occur, such as a local cache flush trigger or remote notification, to determine whether the data should be written to longer-term storage or discarded, thereby optimizing cache flush operations and reducing the risk of resource wastage and service interruptions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If synchronous data replication is implemented for cache flush operations, then data reliability is improved, but network bandwidth consumption and processing capacity are increased

Engineering Contradiction:

Improvedata reliabilityVSAvoidnetwork bandwidth consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary classification of data blocks into ephemeral and non-ephemeral categories before cache flush operations. By identifying ephemeral data blocks in advance (those that will be regenerated from source data), the system prepares to discard them without replication, while only replicating non-ephemeral blocks. This preliminary classification enables selective replication that maintains reliability for critical data while avoiding unnecessary network consumption for transient data.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The invention applies different quality treatments to different parts of the data set. Instead of uniformly replicating all cached data blocks, the system applies replication only to non-ephemeral blocks that require persistence, while discarding ephemeral blocks locally without network transmission. This local differentiation in data treatment optimizes the balance between reliability and network resource usage based on the specific characteristics of each data block.

Inventive Principle:

Principle #3Local quality

2Reliability

If all cached data blocks are written to longer-term storage, then data persistence is improved, but system performance is degraded due to wasted disk writes

Engineering Contradiction:

Improvedata persistenceVSAvoidsystem performance

Core Design Contradiction:

ReliabilityVSProductivity

Solution Approach 1:

The system changes the persistence parameter for different data blocks based on their classification. For ephemeral data blocks, the persistence parameter is set to false (discarded without write), while for non-ephemeral blocks, the persistence parameter is set to true (written to longer-term storage). This parameter change based on data characteristics eliminates wasted disk writes for transient data while maintaining necessary persistence for critical data, thereby improving overall system performance.

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The invention implements a selective discarding mechanism where ephemeral data blocks are identified and discarded without being written to longer-term storage. The system recovers the necessary data persistence function by regenerating ephemeral blocks from source data when needed, rather than maintaining persistent copies. This approach eliminates unnecessary disk writes while maintaining data availability through regeneration.

Inventive Principle:

Principle #34Discarding and recovering

3Reliability

If cache flush operations are performed frequently, then data freshness is improved, but resource wastage increases due to thrashing

Engineering Contradiction:

Improvedata freshnessVSAvoidresource wastage

Core Design Contradiction:

ReliabilityVSLoss of energy

Solution Approach 1:

The system performs partial cache flush operations by selectively flushing only non-ephemeral data blocks to longer-term storage, while discarding ephemeral blocks without persistence operations. This partial action approach maintains data freshness for critical information while avoiding the resource wastage associated with flushing all cached blocks, including those that would be immediately regenerated anyway.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS7752173B1Method and apparatus for improving data processing system performance by reducing wasted disk writes

Publication Date: 2010.07.06 NETAPP INC

AI summary

Data with a short useful lifetime are received and cached by a system. The system waits for the first to occur of two events. If the first event is a local cache flush trigger, the data is written to a longer-term storage subsystem. If the first event is a remote cache flush trigger, the data is discarded. Systems and methods to benefit from this procedure are described and claimed.