Network Node Synchronization via Master Clock and Multidimensional Clustering
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Solution Overview
Problem
Existing network systems fail to establish meaningful connections between nodes and synchronize them effectively, leading to asynchronous relationships that hinder coordinated actions and information sharing among participants in a network, particularly in social learning environments.
Innovation Solution
A dynamic system that sets clocks for distributed nodes by defining similar needs and attribute sets, providing synchronized nodes with shared options, and using a master clock to relate node-specific time to Universal Time, enabling synchronization and coordination through multidimensional scaling and clustering analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If nodes operate independently with their own time references, then each node maintains autonomy and flexibility, but synchronization between nodes deteriorates leading to asynchronous relationships that hinder coordinated actions
Solution Approach 1:
The patent introduces a master clock as an intermediary time reference that all distributed nodes synchronize to. This master clock acts as a mediator between individual node timekeeping and the need for network-wide synchronization, allowing nodes to maintain operational autonomy while reliably coordinating actions through the common time reference provided by the master clock.
2Reliability
If the system implements comprehensive clock synchronization across all nodes, then coordinated actions and information sharing improve, but system complexity increases due to the need for master clock management and time relationship calculations
Solution Approach 1:
The patent merges the timekeeping function of all distributed nodes into a unified system centered around a master clock. By combining individual node time references with the master clock through synchronization protocols and multidimensional scaling, the system achieves coordinated action capability while managing complexity through consolidation rather than distributed time management.
Solution Approach 2:
The patent applies multidimensional scaling to establish time relationships between nodes, transforming the synchronization problem from a simple temporal dimension into a multi-dimensional space that accounts for various node attributes and relationships. This dimensional expansion provides a more comprehensive framework for synchronization that manages complexity through structured mathematical relationships.
3Productivity
If nodes establish meaningful connections based on shared attributes, then information sharing and resource distribution improve, but the difficulty of detecting and measuring node similarity increases
Solution Approach 1:
The patent transforms the abstract concept of node similarity into measurable parameters by applying multidimensional scaling to node attributes. This parameter transformation converts qualitative similarities into quantitative measurements that can be objectively detected and measured, enabling the system to identify clusters of similar nodes and establish meaningful connections based on quantifiable attribute relationships.
Data Source
AI summary
A system of computers on a wide area network establishes connections between nodes on the basis of their multidimensional similarity at a particular point in time in a certain setting, such as a social learning network, and sends information of value to those nodes. Dimensions in the definition of similarity include a plurality of attributes in time and community space. Examples of such dimensions and attributes may include a position in a learning community's project cycle, titles of readings and projects, the genre or subject matter under consideration, age, grade, or level of the participants, and language. The network's nodes are represented as a tensor field and are searched efficiently and adaptively through a variety of multidimensional data structures and mechanisms. The system includes a master clock that can transform a participant's time coordinates on the network, such as a social learning network, into Universal Time, and the synchronizer coordinates the position of each participant.