Actor Director Model Decoupling for Scalable Software Deployment
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Solution Overview
Problem
Existing software development technologies face challenges in scaling from resource-constrained devices to enterprise servers, requiring significant time, effort, and cost due to the difficulty in creating software that can efficiently utilize varying hardware resources.
Innovation Solution
The actor/director model separation allows for a single software code base to be deployed across different hardware platforms by decoupling threads of execution, where actors process messages and message processing threads are managed externally within a thread pool, independent of the number of actors, enabling efficient use of hardware resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If software is designed to scale from resource-constrained devices to enterprise servers, then hardware adaptability is improved, but development complexity increases
Solution Approach 1:
The software is segmented into independent actors that can be selectively deployed. Each actor is a self-contained unit with its own message queue and processing logic, allowing the software to be divided into manageable components that can be adapted to different hardware platforms without requiring complete redesign.
Solution Approach 2:
The actor model provides a universal software architecture that can function across diverse hardware platforms. By using standardized message passing and queue mechanisms, the same software code base can operate on resource-constrained devices as well as enterprise servers, achieving multi-functionality across different environments.
2Loss of time
If a single software code base is used across different platforms, then development time is reduced, but execution efficiency may deteriorate
Solution Approach 1:
The system dynamically adapts its execution behavior based on the underlying hardware platform. The actor model allows for dynamic message queue management and thread pooling that can be optimized for different execution environments, enabling the same code base to achieve efficient execution whether on single-threaded embedded devices or multi-core enterprise servers.
3Speed
If multiple threads are used to process messages, then processing speed is improved, but resource consumption increases
Solution Approach 1:
Each actor independently manages its own message queue and processing, allowing for self-service message handling without requiring centralized thread management. This decentralized approach enables efficient resource utilization where each actor can process messages at its own pace, reducing overall system resource consumption while maintaining processing speed.
Data Source
AI summary
A method includes executing multiple actors associated with a software program. Each actor is associated with (i) data to be processed and (ii) a message queue configured to store messages received by the actor. The method also includes invoking execution of at least one message processing thread for each message received by each actor. The at least one message processing thread is contained in a thread pool that is external to the actors. The number of message processing threads in the thread pool is independent of the number of actors. The method further includes releasing the at least one message processing thread to the thread pool after the execution of the corresponding message is completed.