Client Cache Volume Identifier Analysis for Clustered Storage

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Solution Overview

Problem

In clustered computing networks, client-side caching inefficiencies occur due to the inability to effectively utilize redundant metadata and data blocks associated with different volumes, leading to reduced cache-hit ratios and system performance.

Innovation Solution

The client analyzes its memory to determine if a file is stored with a different volume identifier, and if the data is bit-for-bit identical, it retrieves the file from memory instead of making an external request, thereby avoiding unnecessary requests to the storage system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the client stores multiple copies of data blocks with different volume identifiers in client memory, then the file availability for different volumes is improved, but the client memory space utilization deteriorates and cache-hit ratio decreases

Engineering Contradiction:
Improvefile availabilityVSAvoidmemory space utilization
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The patent merges multiple copies of the same data blocks that are associated with different volume identifiers into a single copy in client memory. The system maintains a unified cache entry that can serve multiple volume requests, eliminating redundant storage while preserving file availability across different volumes.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent implements a universal caching mechanism where a single data block copy can serve multiple functions by being associated with multiple volume identifiers. This allows the cache to universally serve requests from different volumes without requiring separate dedicated copies for each volume.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If the client makes external requests for files not found in cache, then the file retrieval completeness is improved, but the system performance deteriorates due to increased request latency

Engineering Contradiction:
Improvefile retrieval completenessVSAvoidsystem performance
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent performs preliminary actions by proactively checking whether a file exists in client memory before making an external request. The system checks for the presence of data blocks associated with the requested volume identifier, and only initiates external requests when necessary, thereby avoiding unnecessary network round-trips and improving overall system performance.

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If the client uses traditional caching without considering volume relationships, then the caching simplicity is maintained, but the cache-hit ratio decreases due to inability to utilize redundant data

Engineering Contradiction:
Improvecaching mechanism simplicityVSAvoidcache-hit ratio
Core Design Contradiction:
Device complexityVSProductivity

Solution Approach 1:

The patent introduces feedback mechanisms where the client checks the volume identifier of cached data blocks against the requested volume identifier. This feedback loop enables the system to intelligently determine whether to serve a cache hit or miss, improving the cache-hit ratio while maintaining relatively simple caching logic through identifier comparison.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS8200630B1Client data retrieval in a clustered computing network
Publication Date: 2012.06.12 NETAPP INC
  • US8200630B1 patent drawing
  • US8200630B1 patent drawing
  • US8200630B1 patent drawing

AI summary

One or more aspects of the disclosure relate to techniques for accessing a file stored in a clustered computing network, where the file is stored in the clustered computing network in a plurality of related volumes that stem from a particular (e.g., parent) volume. In the method, a request to retrieve the file from the particular volume is received at the client. The client then determines whether the file is stored in a client memory so as to be identified with the particular volume. If the file is not stored in the client memory so as to be identified with the particular volume, then the file is retrieved from a different but related volume.