Multi-Directory Cache Lookup Data Structure for Distributed Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current cache data management tools and techniques fail to efficiently scale with the growing amount of data, leading to inefficiencies in data retrieval and storage, particularly in distributed cache systems where data is spread across multiple nodes and machines.
Innovation Solution
Implementing a multi-directory cache lookup data structure that uses a hierarchy of directories with pointers to cache units, allowing for efficient assignment and retrieval of cache units, and maintaining high and low priority cleanup queues for eviction and expiration, along with write-only latches to manage concurrent operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If a single directory structure is used for cache lookup, then the data structure is simple, but cache lookup speed decreases and scalability is limited as data grows
Solution Approach 1:
The patent divides the cache directory into multiple sub-directories organized in a hierarchical structure. Each sub-directory contains a portion of the cache units, allowing parallel access and reducing the search space. This segmentation enables faster lookup by limiting the number of entries that need to be examined in any single directory level.
Solution Approach 2:
The patent introduces multiple dimensions to the directory structure by creating hierarchical levels and organizing cache units across multiple sub-directories. This multi-dimensional organization transforms a flat, single-level directory into a tree-like structure, enabling more efficient routing and lookup operations by distributing entries across multiple organizational dimensions.
2Adaptability or versatility
If cache data is distributed across multiple nodes, then scalability improves, but data management complexity increases
Solution Approach 1:
The patent segments the distributed cache into multiple nodes, with each node maintaining its own directory structure. This segmentation allows independent management and scaling of individual nodes while maintaining overall system coherence through the hierarchical directory organization.
Solution Approach 2:
The hierarchical directory structure acts as an intermediary layer between the distributed cache nodes and the access requests. This intermediary organizes and routes requests efficiently across multiple nodes, abstracting the complexity of distributed data management while maintaining scalability.
3Productivity
If traditional cache eviction policies are used, then implementation is simple, but performance optimization is limited
Solution Approach 1:
The patent implements self-service mechanisms where cache units automatically manage their own eviction status through the hierarchical directory structure. The directory organization enables efficient identification and removal of expired or least-recently-used entries without requiring complex centralized control, improving cache efficiency through decentralized management.
Data Source
AI summary
In response to a request including a state object, which can indicate a state of an enumeration of a cache, the enumeration can be continued by using the state object to identify and send cache data. Also, an enumeration of cache units can be performed by traversing a data structure that includes object nodes, which correspond to cache units, and internal nodes. An enumeration state stack can indicate a current state of the enumeration, and can include state nodes that correspond to internal nodes in the data structure. Additionally, a cache index data structure can include a higher level table and a lower level table. The higher level table can have a leaf node pointing to the lower level table, and the lower level table can have a leaf node pointing to one of the cache units. Moreover, the lower level table can be associated with a tag.