Request Abstraction Service for Multi-Step IoT Operation Automation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing IoT service layer operations require manual, active participation from requesting entities to perform multiple elementary operations, which is burdensome and not scalable, and there is a lack of ability to issue abstract requests that automatically execute sequences of these operations.
Innovation Solution
A Request Abstraction Service (RAS) is introduced to automate the execution of multi-step service layer operations by interpreting higher abstraction requests and performing elementary operations autonomously, offloading the burden from the requesting entity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual active participation is required for each elementary operation, then control precision is improved, but productivity deteriorates and operation complexity increases
Solution Approach 1:
The patent segments service layer operations into two categories: elementary operations (individual API calls) and abstract operations (compositional workflows). The RAS service segmentes the automation task by identifying sequences of elementary operations that can be grouped into abstract operations, allowing selective automation while maintaining manual control where needed.
Solution Approach 2:
The Request Abstraction Service acts as an intermediary between the requesting entity and the service layer. It receives abstract requests, automatically executes sequences of elementary operations, and returns results to the requester. This mediator pattern enables batch processing and automation without requiring manual intervention for each operation.
2Reliability
If manual active participation is required for each elementary operation, then operation reliability is improved, but device complexity increases
Solution Approach 1:
The RAS service enables self-service automation by automatically executing sequences of elementary operations without requiring manual intervention. The service monitors its own execution state, handles errors, and manages transaction commits or rollbacks autonomously, reducing the need for complex error handling logic in requesting entities.
Solution Approach 2:
The RAS service as an intermediary centralizes the complexity of coordinating multiple elementary operations. It manages the execution flow, error handling, and transaction management internally, presenting a simplified abstract interface to requesters while maintaining operational reliability through structured error handling and rollback mechanisms.
3Productivity
If abstract requests with automatic execution are implemented, then productivity is improved and operation complexity is reduced, but control precision deteriorates
Solution Approach 1:
The system provides dynamic control by allowing requesting entities to choose between issuing individual elementary operations (manual control) or abstract operations (automatic execution). The RAS service dynamically adapts its behavior based on the request type, executing sequences automatically for abstract operations while maintaining the option for manual intervention when needed.
Solution Approach 2:
The patent segments operations into elementary and abstract levels, allowing selective automation. Requesting entities can issue abstract requests for routine batch operations while maintaining the ability to issue individual elementary operations when precise manual control is needed, enabling a hybrid approach that balances automation benefits with control precision.
4Adaptability or versatility
If abstract requests with automatic execution are implemented, then scalability is improved, but system complexity increases
Solution Approach 1:
The RAS service provides universal functionality by handling multiple types of abstract requests and coordinating various elementary operations through a unified interface. It serves as a multi-functional component that can process different kinds of batch operations, error scenarios, and transaction types, reducing the need for separate specialized services for each operation type.
Data Source
AI summary
Systems and methods are described herein to automate managing of service layer operations comprised of multiple elementary operations and offloading the burden of performing such multi-step operations from a requesting entity to the service layer. A Request Abstraction Service (RAS) is described herein for the autonomous execution of such multi-step operations. Methods and apparatuses are also described herein for a service layer framework for integrating generic and functional user interfaces as services managed by the SL on behalf of requesting entities.