IoT Service Orchestration System for Remote Device Management
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Solution Overview
Problem
Conventional IoT devices are inflexible, requiring manual intervention for reconfiguration, unable to self-discover and auto-provision, and lack on-demand performance metrics, leading to high operational and capital costs, latency issues, and privacy concerns with cloud-centric processing.
Innovation Solution
A service orchestration and management system (SOMS) that facilitates the orchestration and management of IoT devices by abstracting complexity, enabling self-discovery, remote reconfiguration, and providing on-demand performance metrics through a service orchestration agent and a multi-protocol messaging manager, allowing devices to run multiple services and interconnect diverse network topologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional IoT devices are used with single function programming, then device simplicity is maintained, but reconfiguration flexibility is lost requiring manual intervention and downtime
Solution Approach 1:
The patent implements dynamic reconfiguration capabilities where devices can change their functional configuration at runtime without manual intervention. The system allows devices to transition between different service modes and reassign computational tasks dynamically, eliminating the need for fixed single-function programming while maintaining operational simplicity through automated management.
Solution Approach 2:
The patent enables IoT devices to perform multiple functions by implementing a universal computing platform that can host different services and applications. Devices are designed with multi-functional capabilities allowing them to serve various purposes within the IoT ecosystem, replacing the conventional single-function approach while maintaining ease of use through centralized orchestration.
2Productivity
If manual configuration is required for IoT devices, then initial setup control is maintained, but deployment scalability is reduced especially for large volumes of devices
Solution Approach 1:
The patent implements self-service capabilities where IoT devices automatically perform configuration, discovery, and provisioning tasks without human intervention. Devices autonomously register with the network, obtain necessary credentials, and configure their settings based on service requirements, enabling rapid deployment of large device volumes while eliminating the need for manual configuration operations.
Solution Approach 2:
The patent employs preliminary action by pre-configuring device templates and service profiles before deployment. Devices inherit pre-defined configuration parameters and service configurations, allowing them to be rapidly deployed with appropriate settings already in place. This preliminary preparation enables scalable deployment while reducing the operational complexity of configuring each device individually.
3Speed
If cloud-centric infrastructure is used for processing, then centralized management is achieved, but latency increases prohibiting near real-time service delivery
Solution Approach 1:
The patent segments the centralized cloud processing architecture into distributed edge computing nodes positioned closer to IoT devices. This segmentation allows computational tasks to be processed locally or at regional edge points rather than requiring all data to travel to centralized cloud data centers, significantly reducing latency for real-time services while maintaining manageable infrastructure complexity through modular deployment.
Solution Approach 2:
The patent adds a spatial dimension to the architecture by introducing edge computing layers between devices and the cloud. This dimensional change creates a hierarchical structure with devices, edge nodes, and cloud centers operating at different levels, enabling real-time processing at the edge while preserving centralized management capabilities at the cloud level without the latency penalties of purely cloud-centric architectures.
4Object-affected harmful factors
If all data is sent to cloud for processing, then comprehensive analysis capability is maintained, but data transmission costs increase and privacy concerns arise
Solution Approach 1:
The patent extracts specific data processing functions from the centralized cloud and places them at the edge and device levels. Local devices and edge nodes perform preliminary data processing, filtering, and analysis, extracting only essential information for cloud transmission. This reduces data transmission volumes and associated costs while preserving comprehensive analysis capability by distributing processing functions across the architecture.
Solution Approach 2:
The patent implements local quality by enabling data processing capabilities at the source (devices) and intermediate points (edge nodes) rather than requiring all processing to occur centrally in the cloud. Each level performs processing appropriate to its capabilities and requirements, reducing unnecessary data transmission while maintaining overall analytical capability through coordinated local and remote processing operations.
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AI summary
Orchestration and/or management of services on deployed computing, electronic, appliance and like devices are described. A service orchestration and/or management system ("SOMS") may be configured to provide for orchestration and/or management of services to one or more deployed devices. The SOMS may obtain information from deployed devices, such as status, capabilities and service metadata. The SOMS may then encapsulate and store the obtained information for later use. The SOMS may also store service information, facilitate creation of services based on stored service definition meta-data, modeling or simulating a service prior to deployment, and deployment of a service to remotely deployed devices followed by activation to begin operation of the service. Other embodiments may be described and claimed.