Actor Instance Deployment via Dynamic Capability Evaluation
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Solution Overview
Problem
Existing runtime environments face challenges in efficiently deploying actor instances across devices with evolving functional requirements, particularly in small devices like IoT devices, where fixed functions are inadequate for changing operational needs.
Innovation Solution
The solution involves mechanisms for initiating and deploying actor instances by evaluating dynamic capabilities and constraints, allowing for migration or replication of actors across runtime environments based on announced changes, ensuring optimal placement and functionality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If small devices have fixed functions, then device complexity is reduced and ease of manufacture is improved, but adaptability to evolving functional requirements deteriorates
Solution Approach 1:
The patent applies universality by enabling small devices to host multiple different actor instances that can be deployed and migrated dynamically. Instead of requiring different specialized devices for different functions, a single device can universally execute various actor types (e.g., moisture sensor actor, temperature sensor actor) based on runtime deployment decisions, thereby achieving adaptability without increasing physical device complexity
Solution Approach 2:
The patent applies dynamics through the dynamic deployment and migration of actor instances. The functionality of small devices is not fixed but can change dynamically as actor instances are deployed, migrated, or removed from the device. This allows the system to adapt to evolving requirements by dynamically reconfiguring which actors reside on which devices, rather than requiring static pre-configuration
2Adaptability or versatility
If actor instances are deployed across multiple runtime environments, then adaptability and functionality are improved, but deployment complexity increases
Solution Approach 1:
The patent applies self-service through the constraint evaluation mechanism where runtime environments automatically assess their own capabilities and constraints, and actor instances autonomously determine their own deployment targets based on matching constraints. This self-directed deployment process reduces the need for complex external deployment orchestration, as each actor and runtime environment independently makes deployment decisions based on evaluated constraints
Solution Approach 2:
The patent applies feedback through the constraint evaluation loop where runtime environments announce their capabilities and constraints, actor instances evaluate these constraints to determine suitable deployment targets, and deployment decisions are made based on this feedback information. This structured feedback mechanism enables automated deployment across multiple runtime environments without requiring complex manual configuration
Data Source
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AI summary
There is provided mechanisms for initiating deployment of an instance of an actor. A method is performed by a peer runtime environment. The method comprises obtaining an indication of changed dynamic capabilities of a first runtime environment. The method comprises evaluating, based on the changed dynamic capabilities, constraints for actor initiation at the first runtime environment. The method comprises initiating deployment of the instance of the actor at the first runtime environment when the constraints are met.