Hybrid Middleware Thread Transformer for Resource Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing middleware solutions often lead to inefficient resource usage and redundancy due to the need for separate thread-based and process-based servers, which increases latency and deployment costs, especially when handling requests from multiple programming languages and environments.
Innovation Solution
The implementation of hybrid middleware that includes a thread transformer, which intercepts requests from process-based clients and converts them into merged requests for a single thread-based server, reducing the need for redundant thread-based servers and optimizing resource usage by allowing a single thread-based server to handle requests from multiple processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If separate thread-based servers are deployed for each process-based middleware instance, then compatibility with multiple programming languages and environments is maintained, but resource usage becomes inefficient and deployment costs increase
Solution Approach 1:
The patent merges multiple separate thread-based servers into a single unified thread-based server that can handle requests from multiple process-based middleware instances. The thread transformer converts requests from different process-based clients into a standardized format that the single thread-based server can process, eliminating the need for separate servers for each process-based instance while maintaining compatibility with various programming languages and environments.
Solution Approach 2:
The single thread-based server is designed with universal capabilities to handle requests from multiple process-based middleware instances running different programming languages. The thread transformer acts as a universal interface that adapts requests from various sources (COBOL, Java, C++, etc.) into a format the thread-based server can process, making the server multi-functional rather than requiring dedicated servers for each language or environment.
2Adaptability or versatility
If separate thread-based servers are used for each process-based middleware, then language-specific requirements are met, but latency increases due to multiple server hops
Solution Approach 1:
By consolidating multiple thread-based servers into one, the patent reduces the number of server hops in the request processing chain. Instead of routing requests through separate servers for each process-based middleware instance, all requests are funneled through a single thread transformer and then to a single thread-based server, significantly reducing latency while still meeting language-specific requirements through the transformer's adaptation capabilities.
3Reliability
If multiple thread-based servers are deployed to handle requests from different process-based clients, then service reliability is maintained, but deployment costs increase
Solution Approach 1:
The patent merges multiple expensive server deployments into a single cost-effective solution. By using one thread-based server with a thread transformer that handles multiple process-based clients, organizations avoid the high deployment costs associated with running separate thread-based servers for each process-based middleware instance, while maintaining service reliability through the robust request handling capabilities of the unified architecture.
4Productivity
If redundant thread-based servers are maintained for each process-based middleware, then request handling capacity is sufficient, but resource efficiency decreases
Solution Approach 1:
The single thread-based server is designed with universal handling capabilities that allow it to process requests from multiple process-based middleware instances simultaneously. The thread transformer efficiently converts and routes requests, enabling the single server to maintain sufficient request handling capacity for all clients without the resource waste of running multiple redundant servers, thereby improving overall resource efficiency.
Data Source
AI summary
A first request to a first thread-based server from a first thread-based client is detected. The first request is derived by the first thread-based client in response to a first call from a first user program running on process-based middleware. The first request is intercepted from a communication pathway. The first request is converted to a merged request. The merged request is intended for a merged thread-based server of the thread-based middleware. The merged request is sent to the merged thread-based server.


