Distributed Queue Replication in Overlay Networks
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Solution Overview
Problem
Existing queue systems in computer networks face bottlenecks and single points of failure, leading to reduced availability and potential data loss due to insufficient resource allocation and lack of queue state recovery mechanisms.
Innovation Solution
Implementing distributed queues in an overlay network where queue state is replicated across multiple nodes, ensuring availability and continuity by reassigning responsibility and maintaining consistent queue state across the network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If queue state is replicated across multiple nodes in an overlay network, then queue availability and reliability are improved, but device complexity and resource allocation increase
Solution Approach 1:
The queue system is segmented into multiple independent nodes within an overlay network, where each node maintains a portion of the queue state. This segmentation allows the system to distribute the queue across multiple locations, improving availability while managing complexity through modular organization. When one node fails, others continue to serve the queue, eliminating single points of failure.
Solution Approach 2:
Queue state is copied and replicated across multiple nodes in the overlay network. Each node maintains a replica of the queue state, ensuring that if one node fails, the queue state can be recovered from another node. This copying mechanism directly improves reliability and availability without requiring complex centralized recovery systems.
2Loss of information
If queue state is replicated across multiple nodes, then loss of queue state is reduced, but use of energy and computational resources increases
Solution Approach 1:
The queue state is copied to multiple nodes in the overlay network, ensuring that no single point of failure can cause data loss. Each replica consumes computational resources, but the distribution across multiple nodes prevents total information loss while managing the energy cost through selective replication rather than full duplication at all times.
Solution Approach 2:
The system dynamically adjusts the replication parameter - the number and location of queue state replicas - based on availability requirements and resource constraints. This allows the system to optimize between data protection and resource consumption, replicating only when necessary to meet availability targets without permanently consuming excessive computational resources.
3Productivity
If distributed queues are implemented in an overlay network, then bottlenecks are reduced, but device complexity increases
Solution Approach 1:
The queue processing workload is segmented across multiple nodes in the overlay network, allowing parallel data processing and eliminating the single-point bottleneck of traditional centralized queues. Each node can independently process data, increasing overall throughput while the segmentation provides natural modularity that manages system complexity.
Solution Approach 2:
The queue system transitions from a single-dimensional centralized structure to a multi-dimensional distributed overlay network. This dimensional change allows data to flow through multiple paths and nodes simultaneously, increasing throughput by utilizing parallel processing paths while the overlay structure provides an organized framework that manages the complexity of the distributed architecture.
Data Source
AI summary
The present invention extends to methods, systems, and computer program products for using distributed queues in an overlay network. Embodiments of the invention can be used to replicate queue state (e.g., inserted and/or deleted messages) within an overlay network and can be used to continue a process at a different node within the overlay network based on replicated queue state. Accordingly, embodiments of the invention can be used to increase the availability of queue state, compensate for node failures within an overlay network, and promote replication of consistent queue state between nodes within an overlay network.