Federated Node Data Routing for Distributed Scalability
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Solution Overview
Problem
Current distributed computing models fail to address scalability of data and data aggregation efficiently, particularly when discrete sets of data are used as resources for services, leading to inefficient querying and preprocessing of data relationships.
Innovation Solution
A method involving a master node and federated nodes, where each node processes and provides local data to the master node during initialization, allowing the master node to route data requests to the appropriate nodes for efficient data retrieval and aggregation, enabling scalability by distributing workload by data set rather than service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If current distributed computing models (SOA, 3/N-tier architectures) are used, then service-oriented workload distribution is achieved, but data scalability and data-centric workload distribution are not addressed
Solution Approach 1:
The patent inverts the traditional service-oriented workload distribution approach by implementing data-centric workload distribution. Instead of routing requests to services and then resolving data locations, the system pre-resolves data locations during initialization and routes requests directly to data holders. This inversion enables scalable data distribution while simplifying runtime operations.
Solution Approach 2:
The system performs preliminary actions during initialization by having nodes register their data holdings with a master node and pre-computing data location mappings. This preliminary data cataloging and routing table generation eliminates the need for runtime data location discovery, enabling efficient data-centric workload distribution without increasing operational complexity.
2Loss of information
If multiple data repositories are queried to locate required information, then data aggregation is achieved, but query efficiency deteriorates due to multiple nodes being queried
Solution Approach 1:
During initialization, nodes perform preliminary actions by registering their data holdings with the master node and establishing routing information. This pre-computed routing data enables the master node to directly route queries to the correct data-holding nodes without needing to query multiple repositories, significantly reducing query response time while maintaining complete data aggregation.
Solution Approach 2:
The master node serves as an intermediary that maintains a centralized registry of data locations and routing information. Instead of queries being broadcast to all nodes or requiring multiple direct queries to data repositories, the master node mediates by providing optimized routing paths to the specific nodes holding required data, reducing query time while ensuring complete data collection.
3Productivity
If data aggregation with relationship preprocessing is performed during application initialization, then runtime performance is improved, but initialization complexity increases
Solution Approach 1:
The system performs preliminary data aggregation and relationship preprocessing during initialization, where nodes register their data holdings and the master node pre-computes routing tables and data location mappings. This preliminary processing eliminates complex runtime data aggregation operations, significantly improving runtime performance. The initialization complexity is managed through structured registration protocols and automated routing table generation.
4Ease of operation
If workload is distributed by service rather than data set, then service-oriented architecture is maintained, but data scalability and efficient data retrieval are compromised
Solution Approach 1:
The patent inverts the traditional service-oriented architecture approach by implementing data-centric workload distribution. The master node maintains a registry of data holdings across nodes and routes requests directly to data holders based on data location rather than service location. This inversion enables efficient data retrieval and scalability while maintaining operational simplicity through automated routing.
Solution Approach 2:
The system implements feedback mechanisms where nodes continuously register their data holdings with the master node, and the master node uses this feedback information to build and update routing tables. This feedback loop enables the system to dynamically adapt to data distribution changes while maintaining efficient data retrieval paths, improving data retrieval efficiency without complicating the architecture.
Data Source
AI summary
A method in one embodiment includes establishing communication between a master node and several federated nodes, wherein each node is an instance of a distributed application; initializing the distributed application, wherein the initialization includes the federated nodes processing data local thereto and providing information about the local data to the master node; and after initialization, at run time, receiving data requests, wherein the master node services the data requests by routing the requests to the nodes. A method in another embodiment includes establishing communication between a master node and several federated nodes, wherein each node is an instance of a distributed application; initializing the distributed application, including gathering information about local data associated with each of the federated nodes, the information including associations of local data across multiple federated nodes; and after initialization, at run time, receiving data requests, wherein the master node services the data requests by routing the requests to one of the nodes believed to have the requested data.