Data Distribution in Multi-Core Processors
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Solution Overview
Problem
Distributed multi-core processor systems face inefficiencies in data distribution, leading to suboptimal utilization of computing resources without a method for efficient data distribution across nodes.
Innovation Solution
A controller device identifies nodes for data processing, uses hash functions to generate node and element hash values, and assigns data to nodes and core processors based on these values, ensuring even distribution and minimizing data loss through replica copies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is distributed across multiple nodes without a systematic method, then the system can process and store high volumes of data, but the computing resources are not utilized optimally
Solution Approach 1:
The patent transforms node identification parameters (IP addresses) into compact hash values through hash functions, changing the parameter representation to enable efficient comparison and distribution. This allows the system to manage complex multi-node environments by converting complex addressing into simplified numeric identifiers that can be systematically distributed across cores.
Solution Approach 2:
The patent replaces manual or systematic data distribution methods with hash-based assignment. Instead of using complex routing logic or manual configuration to distribute data across nodes and cores, the system uses hash functions to automatically assign data to appropriate nodes and cores based on data characteristics, substituting mechanical distribution systems with mathematical hashing.
2Reliability
If data is assigned to specific nodes without random distribution, then data access may be faster, but data loss risk increases when nodes fail
Solution Approach 1:
The patent implements replica copies of data across multiple nodes determined by hash-based assignment. Instead of storing single copies of data on specific nodes, the system creates and distributes replicated copies to multiple nodes, ensuring that if one node fails, data can be retrieved from replica copies on other nodes without significant reassignment time.
3Ease of operation
If hash functions are used to transform IP addresses into node hash values, then node identification becomes more efficient, but the system requires additional computational steps
Solution Approach 1:
The patent performs hash computation of node IP addresses in advance during system initialization or node registration, rather than computing hashes on-demand during data operations. This preliminary hashing stores pre-computed node hash values that can be quickly referenced during data distribution, reducing the computational complexity during actual data operations while maintaining efficient node identification.
Data Source
AI summary
The present disclosure relates to data distribution amongst nodes in a computing system. For example, a controller device of the computing system may first identify one or more nodes in a network that are available for data processing and/or storage tasks. The controller device may next assign data processing and/or storage tasks to one or more nodes. Data processing and/or storage tasks may be efficiently (e.g., randomly and/or evenly) distributed amongst one or more core processors of the assigned nodes. Techniques described herein help to balance the utilization of computing resources and minimize the risk of lost data during reconfigurations and/or network failures.