Dynamic Link Optimization for Callout Request Messages
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Solution Overview
Problem
Existing callout request message systems are inefficient due to the lack of dynamic link optimization, leading to potential timeouts and resource wastage as messages are sent one at a time over a single active link, with other links remaining inactive and messages being queued until responses are received.
Innovation Solution
Monitoring time-based parameters across multiple links to assess performance and dynamically distribute callout request messages to optimal links, ensuring they meet defined timeout requirements and improving resource utilization by selecting the best-performing links for message delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If callout request messages are sent one at a time over a single active link, then link management is simplified, but system productivity and resource utilization deteriorate due to queuing delays and inactive links
Solution Approach 1:
The system dynamically selects which link to use for sending callout request messages based on real-time performance monitoring. The link selection is not static but adapts to changing conditions, allowing the system to optimize throughput while managing complexity through automated decision-making algorithms.
Solution Approach 2:
The system monitors time-based parameters for each link and uses these parameter values to determine link selection. By changing the operational parameters (which link is active) based on monitored performance data, the system improves productivity without requiring manual intervention.
2Reliability
If multiple links are maintained but only one is active at a time, then link availability is improved, but resource utilization deteriorates due to idle links
Solution Approach 1:
The system continuously monitors time-based parameters for each link and uses this feedback to make informed decisions about link selection. This feedback mechanism ensures that links are utilized based on their actual performance, improving both reliability and resource utilization by avoiding selection of degraded links.
Solution Approach 2:
The active link selection is dynamic rather than static. The system can switch between multiple maintained links based on real-time conditions, ensuring that the most performant link is used while keeping other links available as backups, thus optimizing both reliability and resource utilization.
3Stability of the object's composition
If messages are queued until responses are received, then message processing order is maintained, but loss of time increases due to waiting delays
Solution Approach 1:
The system performs preliminary monitoring of link performance parameters before sending messages. By assessing link conditions in advance and selecting the optimal link beforehand, the system reduces queuing wait times while maintaining processing order through controlled selection rather than random or sequential assignment.
4Device complexity
If a single link is used for all messages, then link management is simplified, but productivity deteriorates due to bottleneck effects
Solution Approach 1:
The system segments the message processing workload across multiple links rather than concentrating all messages on a single link. By dividing the traffic and distributing it based on monitored performance parameters, the system eliminates bottleneck effects and improves overall productivity while keeping management complexity manageable through automated routing decisions.
Data Source
AI summary
A method and technique for link optimization for callout request messages includes monitoring one or more time-based parameters for each of a plurality of links between a communication pipe of a host system and one or more service systems. The links are used to send callout request messages between one or more applications running on the host system and the one or more service systems that process the callout request messages. The one or more time-based parameters are associated with different stages of callout request message processing by the communication pipe and the one or more service systems. The method also includes creating control data based on values of the one or more time-based parameters, creating the callout request messages to include the control data, and distributing the callout request messages to the one or more service systems via the links.