Encrypted Workload Offloading for Resource-Constrained Network Nodes
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Solution Overview
Problem
Computing devices in resource-constrained environments face challenges in executing tasks that require computing resources not available locally, leading to rapid obsolescence and functional limitations.
Innovation Solution
Implementing a System and Service Manager (SSM) like systemd to establish an encrypted channel with a systemd bus API, enabling identification and offloading of workloads to external systems with available resources, thereby distributing workload based on computing resource availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computing resources are increased locally to fulfill workloads, then workload fulfillment capability is improved, but device complexity and cost increase
Solution Approach 1:
The patent introduces an intermediary system consisting of a resource manager and task manager that mediates between local computing resources and remote computing resources. The resource manager discovers available resources on the device, while the task manager receives tasks from applications and determines whether to execute them locally or offload them to remote devices via a network. This intermediary architecture enables workload fulfillment without requiring all computing resources to be present in one device, thus avoiding the need to increase local device complexity.
2Productivity
If computing resources are increased locally to fulfill workloads, then workload fulfillment capability is improved, but device obsolescence occurs faster
Solution Approach 1:
The patent extends the computing resource availability from a single-dimension local resource model to a multi-dimension distributed resource model. By utilizing network connections to access computing resources on remote devices, the system effectively adds a spatial dimension to resource availability. This allows older devices with limited local resources to still fulfill demanding workloads by accessing resources on newer or more powerful remote devices, thereby extending the functional lifespan of the device without requiring constant hardware upgrades.
3Use of energy by moving object
If computing resources are distributed across multiple devices, then resource utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent implements self-service mechanisms where the resource manager automatically discovers and registers available computing resources on the device, and the task manager automatically determines whether to offload tasks based on local resource availability. The system includes automatic resource discovery, task offloading decisions, and result retrieval without requiring manual intervention. This automation reduces the operational complexity of managing distributed resources, making the system easier to use despite the distributed architecture.
Data Source
AI summary
A first network node can start, while executing a first operating system, a first systemd System and Service Manager (SSM) for the first operating system. A first set of computing resources currently available to the first network node can be determined to lack a particular computing resource to fulfill a particular workload. The first systemd SSM can be used to establish an encrypted channel to a systemd bus Application Programming Interface (API). A second network node executing a second operating system that has the particular computing resource to fulfill the particular workload can be identified. Configuration information can be provided to the second network node via the encrypted channel, wherein the configuration information is indicative of at least a portion of the particular workload to be fulfilled with the particular computing resource.


