Dynamic Container Service Grouping for Resource Optimization
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Solution Overview
Problem
Current distributed computing systems face inefficiencies in resource allocation and scaling for container-based applications, as they rely on static methods like scaling up or out, which can lead to suboptimal resource utilization and increased costs due to the need for additional nodes.
Innovation Solution
A method that dynamically adjusts the number of services within containers by splitting or consolidating them based on utilization levels, using a service optimizer engine to manage container deployment and rearrangement across nodes, thereby optimizing resource usage and reducing the number of required nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static scaling methods (scaling up or out) are used to adjust container resources, then resource allocation can be achieved, but system efficiency deteriorates due to suboptimal resource utilization and increased costs
Solution Approach 1:
The patent implements dynamic service grouping that automatically adjusts container configurations based on real-time workload conditions. The system transitions from static pre-defined container setups to dynamic reconfiguration where services are continuously grouped and ungrouped based on utilization metrics, enabling the system to adapt optimally to changing demands without manual intervention
Solution Approach 2:
The system incorporates feedback mechanisms that monitor container utilization levels and trigger automatic reconfiguration actions. When utilization exceeds or falls below defined thresholds, the system receives feedback and executes corresponding service grouping or ungrouping operations, creating a closed-loop control system that continuously optimizes resource allocation based on actual performance data
2Productivity
If additional nodes are provisioned to handle increased load, then system capacity is improved, but system complexity and cost increase
Solution Approach 1:
The patent applies merging by consolidating multiple services into single containers through dynamic service grouping. When workload conditions permit, the system combines services that can share resources efficiently, reducing the total number of containers and nodes required to maintain system capacity, thereby simplifying the distributed system architecture
3Adaptability or versatility
If services are packaged in separate containers for independent deployment, then deployment flexibility is improved, but resource utilization deteriorates due to duplication and fragmentation
Solution Approach 1:
The system enables containers to serve multiple functions by dynamically grouping multiple services within single containers based on workload conditions. A container can transition between hosting different service combinations, making it a universal resource that adapts to various deployment scenarios without requiring separate dedicated containers for each service
Data Source
AI summary
A method for efficiently scaling a container-based application that provides a plurality of services includes deploying the container-based application in a distributed computing system. The plurality of services may be deployed using at least one container. The method may additionally include monitoring a utilization level associated with the at least one container. In response to detecting a trigger condition that is based at least in part on the utilization level, the method may additionally include modifying how many containers are deployed for the plurality of services.