Dynamic Access Rule Application for Queue Overflow Prevention
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Solution Overview
Problem
Queue-based messaging systems face variable throughput issues, leading to potential overflow and lost messages, especially during system recovery or peak times, with no dynamic mechanism to throttle load or connections in existing APIs like JMS, making them vulnerable to denial-of-service attacks.
Innovation Solution
A dynamic access rule application system that includes a Shared Queue Controller and an Audit Controller to regulate client access to shared resources by logging requests, monitoring system status, defining allocation rules, and queuing control instructions to manage queue depth and message rates, ensuring efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If store and forward processing is used to ensure message delivery reliability, then message delivery reliability is improved, but queue depth increases causing potential overflow and lost messages
Solution Approach 1:
The system performs preliminary actions by establishing connection quotas and access rules before message bursts occur. The Shared Queue Controller pre-configures maximum connection limits and rate thresholds, so when a client connects or sends messages, the system already has defined parameters to evaluate against, preventing queue overflow before it happens rather than reacting after overflow occurs.
Solution Approach 2:
The system implements feedback mechanisms where the Shared Queue Controller continuously monitors queue depth, message rates, and connection status, then adjusts access rules dynamically. When queue depth approaches thresholds or message rates exceed limits, the controller automatically modifies connection quotas and access permissions, creating a closed-loop control system that prevents overflow while maintaining reliability.
2Reliability
If dynamic access control mechanism is implemented to prevent queue overflow, then queue overflow prevention is improved, but system complexity increases
Solution Approach 1:
The patent introduces a Shared Queue Controller as an intermediary component between clients and the shared queue. This dedicated controller handles all access control logic, connection quota management, and rate limiting functions. By centralizing these complex control functions in a separate intermediary component rather than embedding them throughout the entire messaging system, overall system complexity is contained and managed while still providing comprehensive overflow prevention.
Solution Approach 2:
The system segments access control functionality into distinct components: connection level quotas managed by the Shared Queue Controller, message level rate limiting handled by the same controller, and client-level access rules maintained separately. This segmentation allows each control mechanism to be independently configured, monitored, and adjusted without affecting the entire system, reducing overall complexity while maintaining robust overflow prevention.
3Productivity
If connection quotas and access rules are dynamically adjusted to throttle load, then load management capability is improved, but measurement and detection difficulty increases
Solution Approach 1:
The Shared Queue Controller continuously monitors key metrics including queue depth, message arrival rates, connection status, and client identifiers. This real-time feedback enables the controller to detect when access rules need adjustment, such as when a client approaches their message rate limit or when queue depth exceeds thresholds, allowing dynamic throttle adjustment based on actual measured system state rather than guesses or estimates.
Solution Approach 2:
The system implements self-service monitoring where the Shared Queue Controller automatically tracks and measures its own operational parameters without requiring external audit systems or complex measurement infrastructure. The controller maintains internal state information about connection quotas, message rates, and queue conditions, enabling it to self-adjust access rules based on its own measured performance, thereby reducing the difficulty of detection and measurement.
Data Source
AI summary
A method for dynamic application of access rules to a shared resource may comprise: a) receiving a client request for access to a shared system resource; b) logging information associated with the client request for access to the shared system resource; c) receiving system status data; d) defining a shared system resource allocation rule; e) allocating client access to the shared system resource according to the logged information associated with the client request for access to the shared system resource, the system status data, and the shared system resource allocation rule; and f) queuing a control instruction regulating client access to the shared system resource.