Transaction-Aware Load Balancing for Optimal Node Assignment
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Solution Overview
Problem
Conventional load balancing techniques fail to optimally distribute tasks due to their static nature, not considering transaction characteristics and node conditions, leading to sub-optimal resource utilization and inefficiencies.
Innovation Solution
Dynamic load balancing based on transaction characteristics, where the characteristics of a task and node conditions are considered to determine optimal node assignment, optimizing resource utilization and reducing response times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional load balancers only consider limited factors related to node state when distributing tasks, then the system is simple to operate, but resource utilization becomes sub-optimal
Solution Approach 1:
The patent changes the parameters considered by the load balancer from limited node state factors to multiple dimensions including transaction characteristics (type, size, priority), node conditions (current load, processing speed, availability), and historical performance data. This parameter expansion enables optimal task-node matching while maintaining system operability through automated collection and analysis of these parameters.
Solution Approach 2:
The system implements continuous feedback mechanisms where the load balancer monitors transaction characteristics, node performance metrics, and task completion outcomes. This feedback loop allows the system to dynamically adjust task distribution strategies, learning from historical data to improve resource utilization without requiring complex manual configuration.
2Loss of time
If conventional load balancers use static task distribution methods, then the system is easy to implement, but response times increase due to sub-optimal node selection
Solution Approach 1:
The patent transitions from static load balancing algorithms to dynamic methods that continuously adapt to changing system conditions. The load balancer dynamically evaluates current node states, transaction characteristics, and historical performance to make real-time distribution decisions, thereby reducing response times while managing complexity through automated dynamic adjustment mechanisms.
Solution Approach 2:
The system performs preliminary analysis of transaction characteristics and node capabilities before task assignment. By pre-evaluating compatibility between task requirements and node strengths, the system can quickly assign tasks to optimal nodes, reducing response time without requiring complex real-time calculations during the actual task distribution moment.
3Reliability
If conventional load balancers do not consider transaction characteristics, then the system structure is simple, but application availability decreases due to server overload
Solution Approach 1:
The patent applies local quality by matching specific transaction characteristics with corresponding node capabilities. Different transaction types (e.g., read-heavy, write-heavy, computationally intensive) are routed to nodes with appropriate local strengths and resource availability. This specialized matching improves application availability by preventing server overload while keeping the overall system structure manageable through rule-based routing decisions.
Data Source
AI summary
In various embodiments, a process for dynamic load balancing based on transaction characteristics includes obtaining, from each of a plurality of network nodes of a network: a respective computing resource status update comprising at least one of: a computing capacity or a resource type; and receiving a transaction request to be executed at the network. The process includes obtaining a transaction type of the transaction request; and determining, based at least on the transaction type and at least a portion of the respective computing resource status updates of the plurality of network nodes, an optimal network node to execute the transaction request. The process includes assigning the transaction request to the optimal network node.