Hierarchical Storage Entity Selection for Network Data Distribution
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Solution Overview
Problem
Current telecommunications networks face challenges in efficiently storing and distributing digital data due to high resource requirements for central architectures and instability in peer-to-peer architectures, which lead to increased traffic and limited access capabilities.
Innovation Solution
A method and device that select a data storage entity based on hierarchical levels within the network, considering factors like geographical location, data popularity, and cost, allowing for dynamic redistribution of data to optimize storage and delivery, and a communication method that updates storage lists based on access requests and threshold values to manage network load effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If data is stored at a central level in hierarchical architectures, then content distribution management is improved, but resource requirements and memory usage increase significantly
Solution Approach 1:
The patent segments the storage function across multiple hierarchical levels (central level, intermediate levels, and terminal level) rather than concentrating all storage at the central level. This allows content distribution management to be maintained while distributing the memory burden across many nodes, with each node storing only the data relevant to its level and local users.
Solution Approach 2:
The patent implements local quality by allowing different hierarchical levels to store different types of data based on their specific needs and capabilities. Terminal devices store locally-generated and frequently-accessed content, intermediate nodes store regional content, and the central level stores global content, optimizing memory usage at each level.
2Quantity of substance
If data is stored at terminal level in peer-to-peer architectures, then resource requirements are reduced, but traffic increases and configuration stability decreases
Solution Approach 1:
The patent introduces intermediary nodes at intermediate hierarchical levels that act as mediators between central storage and terminal devices. These intermediaries provide stable anchor points in the network hierarchy, improving configuration stability while still allowing terminal devices to maintain local storage capabilities and reduce overall memory requirements.
3Quantity of substance
If data is stored at terminal level, then memory resources are optimized, but access capability and data rate are limited by terminal capabilities
Solution Approach 1:
The patent adds the hierarchical dimension to the storage architecture, creating multiple levels (central, intermediate, terminal) that can serve different access scenarios. This allows the system to optimize for both memory efficiency and access capability by routing requests to the appropriate hierarchical level based on data location, access frequency, and terminal capabilities.
4Productivity
If hierarchical storage is implemented, then content distribution is optimized, but device complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where each node in the hierarchical architecture autonomously manages its own storage decisions based on local conditions and received requests. Nodes independently determine what data to store and serve based on their hierarchical level, local user needs, and available resources, reducing the complexity of centralized control while maintaining efficient content distribution.
Data Source
AI summary
The method performed by a receiver entity in a hierarchical network, the entity having knowledge of the hierarchical levels of nodes of the network is disclosed. In one aspect, the method comprises, on reception of a request to store data as sent by a sender unit:a step of selecting at least one storage entity for storing the data, the selection step taking account at least of the hierarchical level of the storage entity in the network; anda step of sending information to the sender unit enabling it to obtain the identifier of the data storage entity.