Container Manager Resource Allocation and Version Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current container management in cloud computing environments is inefficient due to the lack of a centralized system to optimize resource allocation and ensure the latest software versions are deployed, leading to potential resource mismanagement and legacy software presence in production environments.
Innovation Solution
A container manager is introduced to collect and maintain up-to-date information on host resources and allocated containers, optimizing resource allocation by selecting the most suitable hosts and ensuring only the latest software versions are deployed, while handling errors and automatically replacing old containers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If containers are allocated to hosts without centralized resource optimization, then deployment flexibility is maintained, but resource utilization efficiency deteriorates
Solution Approach 1:
The patent introduces a container manager as an intermediary component between containers and hosts. This manager collects resource information from hosts, determines suitable allocation based on resource availability and container requirements, and manages the allocation process centrally. This resolves the contradiction by providing optimized resource deployment through centralized management while maintaining operational flexibility.
2Reliability
If old containers are not automatically replaced, then system stability is maintained, but software version currency deteriorates
Solution Approach 1:
The patent implements a feedback mechanism where the container manager monitors container versions and automatically replaces old containers with new versions. The system receives feedback about container age and version status, processes this information, and triggers replacement actions accordingly. This ensures software remains current while maintaining system stability through controlled, automated updates.
3Measurement precision
If manual container allocation is used, then allocation accuracy is reduced, but system complexity is minimized
Solution Approach 1:
The container manager operates autonomously to perform resource allocation without requiring manual intervention. It automatically collects resource information from hosts, determines suitable allocation based on predefined criteria and resource availability, and executes the allocation process. This self-service approach improves allocation accuracy while keeping the system relatively simple through automation of routine decisions.
Data Source
AI summary
The present invention relates to a method for managing containers in a could computing environment, the method comprising obtaining current information on resources available at hosts, obtaining information on host resources needed for a new container and allocating the new container to a selected host based on the resources available at the host and the host resources needed for the container. The present invention further relates to an apparatus and a computer program product implementing the method for managing containers. The method and the apparatus beneficially speeds up the process of allocating and replacing containers and ensures that only the latest version of the applications placed in containers are available in the cloud computing environment for client devices.