Scalable DOM Implementation Memory Management
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Solution Overview
Problem
Existing DOM implementations face scalability issues due to high memory requirements and inefficiencies in managing XML data across different formats, leading to increased memory constraints and performance degradation when handling large numbers of XML documents.
Innovation Solution
A scalable DOM implementation that includes automatic and manual node release mechanisms, shadow copying, and a pluggable architecture with separate API and data layers, allowing for efficient memory management and format-agnostic data processing through abstract interfaces like InfosetReader and InfosetWriter.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional DOM implementation loads entire XML trees into memory, then complete DOM functionality is available, but memory consumption increases tenfold compared to XML document size
Solution Approach 1:
The patent segments the DOM tree into individual nodes that can be loaded and unloaded independently from memory. Each node represents a discrete unit of XML data that can be managed separately, allowing the system to load only necessary portions of the XML tree into memory while maintaining complete DOM functionality through on-demand node creation and destruction.
Solution Approach 2:
The patent implements a nested structure where nodes contain references to their parent and child nodes, creating a hierarchical memory management system. This nested doll approach allows the system to maintain the complete DOM tree structure conceptually while only materializing nodes currently needed in memory, with nodes being created and destroyed as they are traversed or accessed.
2Speed
If DOM nodes are kept in memory for persistent access, then fast retrieval is enabled, but memory constraints increase and scalability deteriorates
Solution Approach 1:
The patent implements dynamic memory management where nodes are created, retained, and destroyed based on real-time access patterns and system memory conditions. The system dynamically adjusts which nodes remain in memory versus being stored persistently, allowing optimal balance between retrieval speed and memory consumption that adapts to changing workloads and system resources.
Solution Approach 2:
The patent changes the state parameter of nodes between materialized (in-memory) and dematerialized (persistent storage) states based on access frequency and memory availability. This parameter change allows the system to optimize performance for frequently accessed nodes while maintaining scalability by storing less frequently accessed nodes in persistent storage, enabling the system to handle larger XML documents as memory resources are available.
3Adaptability or versatility
If data conversion is performed for format compatibility, then universal DOM interface is achieved, but processing time and memory overhead increase
Solution Approach 1:
The patent creates a virtual copy of the DOM tree structure that mirrors the persistent storage format without requiring physical data conversion. Nodes are materialized from their persistent representation when needed, maintaining the standard DOM tree structure in memory while the underlying data remains in its original format in persistent storage, thus achieving format compatibility without conversion overhead.
Solution Approach 2:
The patent introduces an intermediary layer (the virtual DOM tree structure) between the persistent storage format and the DOM API interface. This intermediary translates between different formats on-demand without requiring bulk data conversion, allowing the system to maintain universal DOM interface compatibility while minimizing processing time by only converting individual nodes when they are accessed.
Data Source
AI summary
Techniques for implementing a scalable DOM and a pluggable DOM are provided. A scalable DOM implementation manages a DOM tree in memory to free unreferenced nodes, avoid generating nodes unnecessarily, and avoid storing multiple versions of the same data on disk. A pluggable DOM implementation includes an abstract interface that is defined between the API layer and the data layer of a DOM implementation. An implementation of the abstract interface is defined for each data source that is plugged in to the pluggable DOM implementation and that stores XML data in a different format.