Adaptive Session Management for Network Load Reduction
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Solution Overview
Problem
Current session-based management mechanisms in remote network management systems face inefficiencies due to the lack of adaptive fault-recovery capabilities in static mechanisms and increased network load in multi-point replication mechanisms, leading to high operational costs and limited system performance.
Innovation Solution
An adaptive feedback session management decision (AFSMD) system that dynamically adjusts session management strategies based on real-time connection data and failure rates, using a decision grade producer, session ID map manager, and cluster node communication interface to optimize session distribution and replication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multi-point replication session management mechanism is used to improve fault tolerance, then system reliability is improved, but network load increases
Solution Approach 1:
The patent implements dynamic session replication by adjusting the replication factor based on real-time system conditions. The session manager dynamically determines whether to replicate session data to multiple cluster nodes or maintain single-point sessions, transitioning between static and dynamic states to balance fault tolerance and network load
Solution Approach 2:
The system changes the replication parameter dynamically based on failure rates and system state. When failure rate exceeds threshold, the replication factor increases to improve reliability; when system is stable, replication factor decreases to reduce network load, thus adapting parameters to current conditions
2Device complexity
If static session management mechanism is used to reduce complexity, then device complexity is reduced, but adaptability to failures deteriorates
Solution Approach 1:
The patent implements feedback mechanisms where the session manager continuously monitors cluster node health status and failure rates. Based on this feedback, the system automatically adjusts session management strategies, transitioning from simple static management to adaptive management that responds to actual system conditions without requiring complex manual configuration
Solution Approach 2:
The session manager autonomously monitors system state, detects failures, and adjusts replication strategies without external intervention. The system self-adapts by automatically increasing or decreasing replication based on monitored failure rates, eliminating the need for complex external control mechanisms
3Reliability
If session replication is increased to improve fault tolerance, then system reliability is improved, but operational cost increases
Solution Approach 1:
The patent applies partial replication by replicating sessions to only the necessary number of cluster nodes based on failure rate thresholds. Instead of always replicating to all nodes (excessive action), the system replicates only when and where needed (partial action), reducing operational cost while maintaining adequate fault tolerance
Data Source
AI summary
A remote management system with adaptive management mechanism is disclosed, by using an adaptive feedback session management decision (AFSMD) server to connect a plurality of clients and a plurality of cluster nodes respectively. AFSMD server includes a session ID map manager for recording mapping between session and cluster node forwarded to; a decision grade producer, for producing a decision grade to determine the session management manner required for the current session; a session connection number query (SCNQ) for communicating with a storage to obtain a total connection number of a client; a cluster node communication interface, for communicating with cluster nodes and for information cluster nodes if session needs duplication; and a session management decision controller for overseeing the entire session management decision flow to achieve higher efficiency.