Dynamic Quorum Configuration for Mobile Robot Agreement Nodes
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Solution Overview
Problem
Existing agreement algorithms in network systems, particularly in environments with movable robots, face challenges in maintaining stability and availability due to unstable network communication and the need to consider physical resources not accounted for in traditional client-server models.
Innovation Solution
An information processing apparatus that analyzes the possibility of securing resources, the availability of nodes, and optimization problems related to task execution, and sets a quorum configuration based on these analyses to improve the availability of the agreement algorithm in network systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a traditional quorum-based agreement algorithm is used in a network system with movable robots, then agreement formation is possible, but the availability deteriorates due to unstable network communication and physical resource constraints
Solution Approach 1:
The quorum configuration is made dynamic by allowing nodes to be added or removed from the quorum based on real-time analysis of network connectivity and resource availability. This enables the system to adapt to changing conditions in mobile robot environments where communication stability and resource availability fluctuate, thereby improving agreement algorithm availability without sacrificing adaptability
Solution Approach 2:
The system changes the parameter of quorum composition by analyzing node availability and resource securing possibility, then adjusting which nodes participate in agreement formation. This parameter adjustment allows the system to maintain reliable agreement formation even when some nodes experience communication instability or resource constraints
2Reliability
If the quorum configuration is fixed, then the agreement algorithm is simple to implement, but the availability deteriorates when nodes become unavailable or resources are contested
Solution Approach 1:
Each node autonomously analyzes its own resource availability and network connectivity status, then self-adjusts its participation in the quorum configuration. This self-service approach allows dynamic quorum adaptation without requiring complex centralized management, maintaining implementation simplicity while improving availability
Solution Approach 2:
The system implements feedback mechanisms where nodes continuously monitor resource availability and communication status, then use this feedback to dynamically adjust quorum configuration. This feedback loop enables the system to respond to changing conditions automatically, improving availability without proportionally increasing management complexity
3Reliability
If all nodes are included in the quorum, then comprehensive agreement is achieved, but the time to reach agreement increases due to unstable communication with some nodes
Solution Approach 1:
The system applies partial action by including only the necessary number of available nodes in the quorum configuration rather than all nodes. By analyzing resource availability and communication status, the system determines the minimum quorum size needed for reliable agreement formation, reducing waiting time for unstable nodes while maintaining agreement completeness
Solution Approach 2:
The quorum configuration dynamically adjusts its composition based on real-time node availability analysis. When nodes become unavailable or communication deteriorates, they are temporarily removed from the quorum, allowing agreement formation to proceed with remaining nodes and reducing time loss without compromising the completeness of the agreement
4Reliability
If physical resources are not considered in the agreement algorithm, then the algorithm is simpler, but the availability deteriorates when robots contest shared physical resources
Solution Approach 1:
The agreement algorithm is enhanced with multi-functionality by integrating resource availability analysis alongside network connectivity assessment. This universal approach allows the same decision-making framework to evaluate both communication status and resource availability, improving agreement algorithm availability in resource-contested environments without proportionally increasing complexity
Solution Approach 2:
The system changes the evaluation parameters of the agreement algorithm to include resource securing possibility alongside communication reliability. By analyzing multiple parameters simultaneously, the system can make more informed decisions about quorum participation, improving availability in physical resource contest scenarios while managing complexity through integrated analysis
Data Source
AI summary
A robot (10) is an information processing apparatus, which is one of nodes in a network system (1) including a plurality of nodes. The robot (10) includes: an analysis unit (16b) that analyzes each of the possibility of securing resources shared by the nodes, the availability of each of nodes, and an optimization problem related to task execution; and a quorum configuration setting unit (16c) (corresponding to one example of “setting unit”) that sets a group of nodes participating in agreement formation in the network system (1) based on at least one of analysis results from the analysis unit (16b).