Pending Replication Rule Evaluation for Distributed Nodes
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Solution Overview
Problem
Existing data replication systems in distributed environments face challenges with bandwidth consumption and latency due to large rule changes, and lack effective prevention of erroneous or accidental replication, leading to resource wastage and synchronization issues.
Innovation Solution
A method that labels replication rules as pending, allowing for evaluation of their effects without activating them, enabling users to approve changes before implementation, and replicates rules between nodes to manage and maintain rule consistency, reducing the risk of accidental changes and bandwidth usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If replication rules are changed immediately, then the system responds quickly to new requirements, but large amounts of bandwidth are consumed and latency increases
Solution Approach 1:
The patent applies preliminary action by introducing a pending state for replication rules. Before a rule change is fully activated, the system performs preliminary evaluation by identifying affected objects and simulating the rule's effects. This allows the system to prepare for rule changes without immediately consuming full bandwidth, thus reducing latency while controlling resource consumption.
2Adaptability or versatility
If replication rules are changed immediately, then the system adapts quickly to new requirements, but erroneous or accidental replication occurs leading to resource wastage
Solution Approach 1:
The patent implements feedback by providing a preview mechanism that shows the effects of pending replication rules before they are activated. The system identifies affected objects and presents this information back to users, allowing them to review and approve or reject the rule changes. This feedback loop prevents erroneous replication by giving users control over rule activation, thus improving reliability while maintaining adaptability.
3Productivity
If replication rules are changed immediately, then the system implements changes quickly, but nodes become out of sync and synchronization issues occur
Solution Approach 1:
The patent applies preliminary action by evaluating the effects of replication rules on all nodes before activation. The system identifies affected objects and determines their replication status across nodes in advance. This preliminary evaluation ensures that when rules are activated, nodes can be synchronized properly, maintaining consistency while still allowing quick implementation of approved changes.
4Quantity of substance
If a large number of objects are replicated at once, then the replication rule takes effect immediately, but significant computing resources are consumed
Solution Approach 1:
The patent applies preliminary action by performing an evaluation phase before actual replication. During this phase, the system identifies all affected objects and calculates the resources that would be consumed, without actually copying the data. This allows users to review the impact and approve or reject the rule change, preventing unnecessary resource consumption while still enabling large-scale replication when needed.
Data Source
AI summary
Techniques for replication rule evaluation are provided. A replication rule is received at a first node of a plurality of nodes where the replication rule defines object replication among the plurality of nodes. The replication rule is labeled as pending, where a second replication rule on the first node is labeled as active. Upon receiving a request to predict an effect of the replication rule, a first object of a plurality of objects is identified based on the first replication rule. Upon determining that the first object is present on the first node but is not present on a second node of the plurality of nodes, an indication of the first object is outputted.