IoT Coordinator with Localized Code Execution for Latency Reduction
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing systems face challenges in securely and efficiently managing embedded devices or 'Internet-of-Things' (IoT) devices with limited local user interfaces, as remote management often leads to latency and privacy risks due to reliance on external communication networks.
Innovation Solution
A coordinator is introduced within a coordinated environment to enable localized management of IoT devices, utilizing a localized on-demand code execution system that allows rapid execution of portable code segments, or 'tasks,' to manage device states and communications without external network reliance, employing device shadows and various protocols for efficient data synchronization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If remote management is used to manage embedded devices, then management capability is improved, but communication latency increases and privacy risks worsen
Solution Approach 1:
A coordinator device is introduced as an intermediary between the embedded device and external networks. The coordinator receives management requests from remote devices, processes them locally, and executes tasks without requiring direct communication between the embedded device and external networks, thereby reducing latency and privacy risks
2Ease of operation
If remote management is used to manage embedded devices, then management capability is improved, but privacy security worsens
Solution Approach 1:
The coordinator acts as a privacy-protecting intermediary that handles all external communications. Sensitive device information and management requests are processed locally at the coordinator, preventing exposure of private information to external networks while maintaining full management capability
Solution Approach 2:
The system is segmented into a local coordination layer and remote management layer. The coordinator handles local processing and execution, while external devices only communicate with the coordinator, not the embedded device directly. This segmentation isolates private information within the local network boundary
3Speed
If localized code execution is implemented, then response speed is improved, but system complexity increases
Solution Approach 1:
The coordinator provides self-service localized code execution capabilities, automatically receiving, processing, and executing task code without requiring external intervention for each operation. This enables rapid local response while the coordinator manages the complexity of code execution internally
Data Source
AI summary
Systems and methods are described for implementing a coordinator within a coordinated environment, which environment includes set of coordinated devices managed by the coordinator. The coordinator can be provisioned with a set of tasks, each task corresponding to a segment of code that can be executed by the coordinator, such as to manage the coordinated devices. To assist in execution of the tasks, the coordinator can include a communications manager that enables communications between tasks. The communications manager can provide a language-independent interface to call for execution of tasks, pass information to a task, and obtain outputs of a task. In some embodiments, the communication manager may utilize a language-independent protocol, such as the hypertext transport protocol, and be configured to respond to requests addressed to uniform resource identifiers associated with the communications manager.