Buffer Reader Abstraction for Fragmented Data Stream Access

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Solution Overview

Problem

Existing technologies face challenges in efficiently processing fragmented network data streams without requiring complex reassembly, which hinders seamless manipulation and processing by other system components.

Innovation Solution

A buffers reader abstraction is introduced to manage fragmented network data across multiple data structures, presenting it as a continuous sequence of elements, allowing seamless manipulation and processing as a unified dataset.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If fragmented network data is processed using traditional reassembly methods, then data完整性 is ensured, but processing complexity and time increase significantly

Engineering Contradiction:
Improvedata完整性VSAvoidprocessing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The data stream is divided into fixed-size chunks that are processed independently through the abstraction layer. Each chunk maintains its position information, allowing the system to work with discrete units rather than attempting to reassemble entire data streams, thus reducing processing complexity while maintaining data integrity.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

An abstraction layer is introduced between the fragmented data sources and the processing logic. This intermediary layer handles the complexity of data reassembly and positioning transparently, allowing upper-level components to access data as if it were contiguous without dealing with the underlying fragmentation complexity.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Quantity of substance

If data is accessed through multiple data structures, then fragmented data can be stored efficiently, but access complexity increases

Engineering Contradiction:
Improvedata storage efficiencyVSAvoidaccess complexity
Core Design Contradiction:
Quantity of substanceVSEase of operation

Solution Approach 1:

The abstraction layer serves as an intermediary between storage structures and access operations. It maintains mappings between logical positions and physical storage locations across multiple data structures, allowing simple sequential access patterns while the intermediary handles the complexity of translating these accesses to the appropriate underlying structures.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The abstraction layer provides a universal interface that works regardless of how data is fragmented or stored in underlying structures. It handles various access patterns (sequential, random, range queries) through a single unified mechanism, making the system adaptable to different storage configurations without increasing access complexity for users.

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

3Manufacturing precision

If reassembly logic is exposed to processing components, then data manipulation is accurate, but processing speed decreases

Engineering Contradiction:
Improvedata manipulation accuracyVSAvoidprocessing speed
Core Design Contradiction:
Manufacturing precisionVSProductivity

Solution Approach 1:

The complex reassembly logic is extracted from processing components and placed in the abstraction layer. This separation allows processing components to focus on their core functions with simple, fast operations, while the abstraction layer handles the accurate reassembly logic in optimized batches, thus improving overall processing speed without sacrificing accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The abstraction layer performs preliminary organization and positioning of data chunks before they reach processing components. By pre-establishing the correct sequence and positions of fragmented data, the system eliminates the need for processing components to perform complex reassembly operations during their execution, thereby improving processing speed while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250370781A1Abstraction Mechanism For Manipulating Fragmented Data
Publication Date: 2025.12.04 ORACLE INT CORP
  • US20250370781A1 patent drawing
  • US20250370781A1 patent drawing
  • US20250370781A1 patent drawing

AI summary

Techniques are disclosed for abstracting multiple fragments of a dataset into a single abstraction that can be used to manipulate the fragmented dataset. Fragments of the dataset are represented in memory by multiple runtime objects generated by the system. The system abstracts the runtime objects by generating a single runtime object to represent the runtime objects. While the dataset remains fragmented, the single runtime object presents the fragmented dataset as a continuous sequence of elements. The system subsequently reads the continuous sequence of elements to decode the fragmented dataset. While reading an element in the continuous sequence of elements, the system may advance a read position of the single runtime object, and the system may advance a read position of an individual runtime object that represent that element. Once an element has been read through the single runtime object, that element may be released from the continuous sequence of elements.