IoT Service Manager for Container I/O Performance
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Solution Overview
Problem
Current container-based virtualization systems, such as Docker, lack support for guaranteed I/O performance metrics like bandwidth and throughput, which are essential for IoT applications, limiting their ability to meet performance criteria.
Innovation Solution
The introduction of an IoT service manager that provisions extended resources, including guaranteed bandwidth and CPU shares, to IoT containers, acting as a proxy for container engines like Docker, to dynamically allocate and manage these resources, ensuring enhanced I/O performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If container-based virtualization systems like Docker are used for IoT applications, then resource efficiency and rapid deployment are improved, but guaranteed I/O performance metrics like bandwidth and throughput are not provided
Solution Approach 1:
The patent introduces an intermediary layer between the container engine and the host system that acts as a resource broker. This intermediary translates container resource requests into host resource allocations, ensuring that I/O performance metrics are guaranteed while maintaining container deployment efficiency. The intermediary monitors and manages resource allocation dynamically without requiring changes to the container runtime.
2Reliability
If extended resources like guaranteed bandwidth and CPU shares are provisioned to containers, then I/O performance is enhanced, but system complexity increases
Solution Approach 1:
The system implements self-service mechanisms where the resource broker automatically negotiates and allocates extended resources based on container requirements and host availability. The broker autonomously manages resource provisioning, monitoring, and adjustment without requiring manual intervention or complex configuration by system administrators. This automation reduces operational complexity while ensuring I/O performance guarantees.
3Reliability
If service-defined containers with extended resources are implemented, then performance criteria are met, but compatibility with existing container engines is reduced
Solution Approach 1:
The patent segments the resource management functionality into distinct modular components: a resource broker layer, resource allocation modules, and monitoring components. This segmentation allows the extended resource management features to be added as an independent layer that works with existing container engines without modifying their core functionality. The modular architecture enables gradual adoption and maintains compatibility while enhancing performance capabilities.
Data Source
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AI summary
A method comprising receiving, by a processing thread executing on a host server, a container request to create a container on the host server by employing a container engine, wherein the container request indicates a first resource constraint and a second resource constraint for executing an application within the container, directing, by the processing thread, the container engine to create an operating environment for the container according to the first resource constraint and to execute the container on the host server, reserving, by the processing thread, a first resource from an operating system (OS) of the host server according to the second resource constraint of the container request, and updating dynamically, by the processing thread, the operating environment of the container to enable the container to directly utilize the reserved first resource for execution of the application to meet the second resource constraint of the container request.