Streaming Server Intermediary for Legacy Wellbore Data Access
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Solution Overview
Problem
Existing systems face delays and inefficiencies in accessing wellbore environment data due to the use of slower request and response protocols over Wide Area Networks, which can increase latency and require significant bandwidth, especially when communicating with older servers that do not employ the latest industry standards.
Innovation Solution
Implementing a streaming server that acts as an intermediary between client devices and existing servers, allowing data to be streamed in a standardized format over a Local Area Network, thereby reducing latency and bandwidth consumption by bridging communication protocols between different request and response protocols, and enabling automatic data forwarding to client devices without the need for direct polling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is accessed remotely through request and response protocol over WAN, then data can be retrieved from existing servers, but latency increases and data access speed deteriorates
Solution Approach 1:
The patent introduces a streaming server as an intermediary component between client devices and existing data servers. The streaming server receives streaming data requests from client devices, converts them into request and response protocols compatible with legacy servers, and relays the data back to clients. This intermediary architecture allows existing servers to be accessed while reducing latency through optimized data flow management and protocol conversion, directly resolving the contradiction between reliable data access and fast access speed.
2Adaptability or versatility
If request and response protocol is used over WAN, then existing servers can communicate with client devices, but bandwidth consumption increases
Solution Approach 1:
The streaming server acts as a protocol intermediary that converts inefficient request and response protocols into optimized streaming protocols. By receiving data through streaming connections from existing servers and forwarding it to client devices using efficient streaming data formats, the system maintains protocol compatibility with legacy systems while dramatically reducing bandwidth consumption through continuous data flow instead of repeated request-response cycles.
Solution Approach 2:
The patent changes the fundamental parameter of data transmission from discrete request-response packets to continuous streaming data flow. This parameter change transforms the communication mode from high-overhead protocol exchanges to efficient binary streaming protocols, reducing bandwidth consumption while maintaining adaptability to existing servers through the intermediary conversion layer.
3Productivity
If streaming server is implemented as intermediary, then latency is reduced and data transfer efficiency is improved, but device complexity increases
Solution Approach 1:
While the streaming server does increase system complexity by adding an intermediary layer, this complexity is concentrated in a single modular component rather than distributed across the entire system. The streaming server encapsulates protocol conversion logic, data flow management, and client-server coordination in one place, making the system easier to manage and maintain despite the additional layer. The productivity gains in data transfer efficiency far outweigh the localized complexity increase.
Data Source
AI summary
A streaming server can receive a request from a client device to access data about a wellbore environment in a database server. The database server can be communicatively coupled to a server, which can be communicatively coupled to the streaming server. The streaming server can communicate data in a standardized format with the server using a request and response protocol. The streaming server can communicate the wellbore environment data from the database server in a streaming format with the client device.