Combat Cloud Information Provisioning for Adaptive Mission Models
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Solution Overview
Problem
Conventional mission models in combat cloud environments lack flexibility and resilience in dynamic conditions, are vulnerable to disruptions, and struggle with efficient information sharing across different platforms and security domains.
Innovation Solution
A dynamic information provisioning system that utilizes a publish/subscribe communication system to distribute mission-critical information based on predefined exchange requirements, dynamically adapting to changes in network conditions and mission requirements, and automatically disseminating updates to nodes for real-time operational adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional mission models are used in combat cloud environments, then information exchange requirements per mission phase are supported, but the system lacks flexibility and is vulnerable to disruptions in dynamic conditions
Solution Approach 1:
The mission model is transformed from a static structure to a dynamic one that can adapt in real-time to changing network conditions and mission requirements. The system continuously monitors network state and automatically adjusts information exchange requirements, allowing the mission model to evolve during execution rather than remaining fixed.
Solution Approach 2:
The system implements continuous feedback loops where network conditions and mission execution status are monitored, and this information feeds back into automatic adjustments of the mission model. This closed-loop control enables the system to detect disruptions and adaptively modify information exchange requirements to maintain resilience.
2Productivity
If conventional mission models are used, then mission phases are structured, but efficient information sharing across different platforms and security domains is difficult
Solution Approach 1:
The mission model is designed to universally accommodate multiple platforms and security domains through a standardized interface layer. This universal structure enables different types of nodes (air, ground, sea-based platforms) and security domains to participate in information sharing using common protocols and data formats, reducing interoperability complexity.
Solution Approach 2:
The system introduces an intermediary layer that mediates between diverse platforms and security domains. This intermediary handles the complexity of cross-domain information exchange, translating between different security protocols and platform-specific formats, thereby enabling efficient information sharing without requiring direct complex integrations between all pairs of platforms.
3Reliability
If dynamic adaptation is implemented, then resilience is improved, but system complexity increases
Solution Approach 1:
The mission model implements self-service capabilities where the system automatically monitors its own execution state and network conditions, and autonomously adjusts information exchange requirements without external intervention. This self-adjusting behavior provides resilience while minimizing the need for complex external control mechanisms.
Solution Approach 2:
The system achieves dynamic adaptation by changing parameters of the mission model (information exchange requirements, data formats, communication frequencies) based on monitored conditions. Rather than restructuring the entire system, resilience is achieved through flexible parameter adjustment, which maintains relatively simple system architecture while providing adaptive capability.
Data Source
AI summary
A combat cloud environment performs dynamic adaptation of a mission model. The combat cloud environment includes a plurality of nodes and a dynamic information provisioning (DIP) system. The nodes perform a mission in the combat cloud environment, receive first data via a data communication network, and transmit second data via the data communication network. The DIP system transmits the first data via the data communication network and receives the second data via the data communication network. The DIP system dynamically modifies the first data in response to detecting changes in one or a combination of network conditions of the data communications network, requirements of the mission, and a status of the mission, as indicated by the second data. The DIP system automatically disseminates the modified first data indicating the adaptation of the mission model to the plurality of nodes so as to facilitate real-time operational adjustments.