Bot Mesh Landscape Model Verification
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Solution Overview
Problem
Existing systems face challenges in efficiently evaluating and optimizing system landscapes comprising geographically-distant computing systems due to communication latencies and complex communication patterns, making it difficult to predict the impact of service relocations and additions without iterative and costly deployments.
Innovation Solution
A bot mesh is created by deploying service-mimicking bots proximate to actual services, which simulate communication characteristics to evaluate potential changes in system performance without requiring actual service deployments, allowing for efficient analysis of service relocations and additions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a complete test landscape is created and operated to evaluate system changes, then measurement accuracy is improved, but device complexity and cost increase significantly
Solution Approach 1:
The patent creates a virtual model that replicates the essential characteristics and communication patterns of the physical system landscape. This digital twin allows performance evaluation without requiring a complete parallel test infrastructure, thereby maintaining measurement accuracy while dramatically reducing device complexity and cost.
Solution Approach 2:
The virtual model acts as an intermediary between the actual system landscape and the evaluation process. Instead of directly measuring performance on the complex physical system, the model serves as a mediator that captures and analyzes communication patterns, latencies, and performance metrics in a simplified environment.
2Manufacturing precision
If iterative deployments are performed to evaluate system changes, then performance optimization is improved, but loss of time and productivity decrease
Solution Approach 1:
The virtual model enables preliminary evaluation of system changes before actual deployments. By simulating service relocations, additions, and configuration changes in the virtual environment first, organizations can identify performance issues and optimize configurations ahead of time, avoiding repeated iterative deployments and reducing time loss.
Solution Approach 2:
By using a virtual copy of the system landscape, the patent enables rapid experimentation and evaluation without the time-consuming process of actual iterative deployments. Multiple scenarios can be tested in parallel in the virtual model, significantly accelerating the optimization process.
3Device complexity
If service relocations are evaluated without virtual modeling, then device complexity is reduced, but loss of information about communication patterns increases
Solution Approach 1:
The virtual model creates a digital replica that captures essential communication patterns, latencies, and interaction characteristics of the system landscape. This copying approach preserves critical information about service interactions while keeping the evaluation system simple and manageable.
Solution Approach 2:
The virtual model focuses on capturing locally relevant communication patterns and performance characteristics specific to each service and its interactions. Rather than attempting to model every detail of the entire system, it concentrates on the essential local qualities that affect performance during service relocations.
Data Source
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AI summary
Systems and methods include determination of a plurality of call map clusters, each call map cluster associated with a respective type of external call, two or more of a plurality of services, and a service call model modelling, for each of the two or more of the plurality of services, the issuance of outgoing service calls in response to received service calls. A bot is deployed proximate to each of the plurality of services, and each deployed bot is associated with a respective configuration to issue outgoing service calls in response to received service calls as modelled by the service call models for each of one or more services proximate to the deployed bot.