Network Self-Healing via Capability Negotiation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Network-centric operations face challenges in maintaining operational effectiveness due to network degradation caused by factors like weather and equipment breakdown, with complex communication and data exchange environments making it difficult to assess and optimize network capabilities across diverse resources and applications.
Innovation Solution
A method where nodes and applications refer to a common framework of predefined network capabilities, negotiate for resources, and optimize resource allocation based on performance parameters to ensure capability effectiveness and self-healing across the network, even in ad-hoc and dynamic environments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If network complexity increases to support more diverse resources and applications, then network capability and versatility improve, but network reliability and operational effectiveness deteriorate due to increased failure chances and degradation
Solution Approach 1:
The patent implements continuous monitoring of network capability effectiveness through performance parameters, with feedback mechanisms that trigger self-healing processes. When degradation is detected, the system automatically negotiates for resource reallocation or capability substitution to restore operational effectiveness, creating a closed-loop feedback system that maintains reliability despite increasing complexity
Solution Approach 2:
The network performs self-healing operations by automatically detecting capability degradation, determining root causes, and executing remediation actions without external intervention. The system self-manages resource allocation and capability negotiation to maintain operational effectiveness, reducing dependence on manual management despite network complexity
2Adaptability or versatility
If network resources are dynamically allocated to support changing capabilities, then network adaptability improves, but resource allocation optimization becomes more difficult and time-consuming
Solution Approach 1:
The system pre-establishes performance parameters and capability frameworks before network operations begin. These predefined parameters enable rapid assessment and negotiation during dynamic resource allocation, eliminating the need for time-consuming analysis during critical real-time decisions while maintaining adaptability to changing conditions
Solution Approach 2:
Continuous monitoring of performance parameters provides real-time feedback on resource utilization and capability effectiveness. This feedback enables rapid detection of allocation inefficiencies and triggers immediate remediation, reducing the time lost to suboptimal resource distribution and enabling dynamic adaptation without significant delays
3Ease of operation
If nodes and applications refer to common frameworks of predefined capabilities, then network interoperability improves, but the complexity of negotiating and optimizing resource allocation increases
Solution Approach 1:
The patent segments the network capability framework into discrete, standardized capability units with associated performance parameters. This segmentation simplifies negotiation by breaking down complex resource allocation into manageable atomic units, allowing nodes to negotiate individual capabilities independently while maintaining overall interoperability across the diverse network
Solution Approach 2:
The system uses standardized performance parameters as changeable values that can be adjusted during negotiation. By expressing resource requirements and capabilities in terms of these standardized parameters, the system simplifies the negotiation process while maintaining the flexibility to adapt to different network conditions and requirements, reducing the complexity of interoperability management
Data Source
AI summary
A method of managing a network includes configuring nodes and applications of the network to refer to the same framework of predefined network capabilities. Each of the applications is configured to implement one or more of the capabilities. Each of the applications also is configured to negotiate, as to each of the capabilities, with the nodes to obtain a network resource to support the capabilities. Each node is configured to negotiate, after an application obtains a network resource, with other nodes to optimize network resource allocation. This method provides a framework for application self-healing and network optimization that can improve network performance.