Machine Device Configuration Through IPv6 Header Encoding
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Solution Overview
Problem
Existing technologies do not fully exploit the potential of IPv6 for configuring network devices, leading to inefficiencies in handling header and payload information, and there is a need for improved data extraction and modeling techniques, especially for big data applications.
Innovation Solution
A method and apparatus that utilize IPv6 headers to encode payload information, involving the storage of named object entities with vectors of technical values, counting their occurrences, weighting them based on frequency, and transmitting the weighted vectors in IPv6 datagrams for device configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If IPv6 header information is used for device configuration, then configuration efficiency is improved, but device complexity increases
Solution Approach 1:
The IPv6 header fields are made multi-functional by enabling them to carry both traditional routing information and configuration parameters simultaneously. The extension headers are utilized to embed configuration data within the existing IPv6 packet structure, allowing a single protocol mechanism to serve dual purposes without requiring separate configuration channels.
Solution Approach 2:
A configuration server acts as an intermediary that automatically extracts configuration parameters from heterogeneous data sources, encodes them into IPv6 extension headers, and delivers them to end devices. This mediator handles the complexity of data processing and encoding, shielding end devices from implementation complexity while enabling efficient configuration delivery.
2Loss of information
If heterogeneous data sources are processed, then data completeness is improved, but processing complexity increases
Solution Approach 1:
The configuration server extracts only the necessary configuration parameters from large volumes of heterogeneous data sources, separating essential configuration information from irrelevant data. This extraction process filters and isolates the critical parameters needed for device configuration, reducing the burden of processing complete heterogeneous datasets at the end device.
Solution Approach 2:
Data from heterogeneous sources in various formats is transformed and normalized into a standardized parameter structure that fits the IPv6 extension header format. This parameter transformation process converts diverse data types into a unified representation, enabling consistent processing while preserving the essential information from each source.
3Loss of energy
If IPv6 extension headers are used for data encoding, then bandwidth usage is reduced, but information security risks increase
Solution Approach 1:
Configuration parameters are encoded into IPv6 extension headers in advance by the configuration server before transmission. This preliminary encoding prepares the data for efficient in-band delivery, allowing the configuration information to be transmitted within the existing IPv6 data plane without requiring additional bandwidth allocation or separate communication channels.
Solution Approach 2:
The previously underutilized IPv6 extension header space, which could be considered wasted bandwidth, is converted into a beneficial configuration delivery mechanism. By utilizing these previously unused header fields, the system achieves efficient configuration transmission without consuming additional network bandwidth resources.
Data Source
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AI summary
The present invention is directed towards a method for addressing machine devices in a novel manner by involving IPv6 header information in the process of configuring an end device. This does not only refer to network components such as servers or routers but any device can be operated in this way in case it provides a respective interface. The suggested method can rely on heavily heterogeneous data sources, which includes data representation in any type and format. The computer implemented method is able to detect superior information in such data sources and is able to transfer such data into a data format being specifically tailored to specific end devices. Hence, the resulting data can be efficiently processed by further devices and accordingly the suggested method is suitable for big data analysis. The invention is furthermore directed towards a respectively arranged system along with a computer program product and a computer-readable medium.