Adaptive Computing Cluster Configuration With Container Orchestration
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Solution Overview
Problem
Conventional computing solutions tailored for specific tasks are costly and time-consuming to develop, and once deployed, they quickly become outdated, locking users into obsolete systems.
Innovation Solution
A system and method for configuring adaptive computer clusters using a cluster configuration server that instantiates containers such as an API gateway, storage, distributed computing master node, and orchestrator, with solution-specific containers, enabling rapid deployment and adaptation to changing technologies and user needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional computing solutions are customized for specific tasks, then efficiency and service expansion are improved, but development cost and time increase significantly
Solution Approach 1:
The system segments computing resources into modular containers that can be independently configured and deployed. Each container represents a discrete functional unit that can be assembled into customized computing solutions without developing entire systems from scratch, thereby reducing development time while maintaining task-specific efficiency.
Solution Approach 2:
The system performs preliminary configuration by pre-defining container templates and computing cluster architectures. These pre-configured elements can be rapidly instantiated and adapted to specific tasks, eliminating the need for lengthy custom development cycles while preserving optimized performance characteristics.
2Productivity
If customized computing systems are deployed, then task-specific efficiency is improved, but the systems quickly become outdated and lock users into obsolete technology
Solution Approach 1:
The system implements dynamic adaptability by allowing computing clusters to be reconfigured through container orchestration. Containers can be added, removed, or updated without decommissioning the entire system, enabling continuous adaptation to new technologies while maintaining operational efficiency for current tasks.
Solution Approach 2:
The system achieves universality through standardized container interfaces and orchestration mechanisms that can accommodate diverse computing workloads. The same infrastructure can host different containerized applications and technologies, preventing vendor or technology lock-in while maintaining optimized performance for specific tasks.
3Reliability
If traditional system deployment methods are used, then system stability is maintained, but deployment time extends from weeks to months
Solution Approach 1:
The system uses container copying and templating to replicate proven, stable computing configurations. Pre-validated container images and cluster templates can be copied and instantiated rapidly, maintaining the stability of tested configurations while reducing deployment time from months to days or hours.
Solution Approach 2:
The system performs preliminary validation and configuration of computing clusters through automated orchestration. Stability checks, dependency resolution, and configuration verification are executed automatically during container deployment, maintaining system reliability while accelerating the deployment process through automation rather than manual procedures.
Data Source
AI summary
A system for configuring an adaptive computer cluster is disclosed. The system includes a cluster configuration server communicatively coupled to a cluster hosting environment through a network, the cluster configuration server having a processor and a memory. The memory includes a plurality of inert containers and a configuration tool configured to receive at least one procedure having a trigger event and at least one task and further configured to instruct the cluster hosting environment to instantiate the adaptive computer cluster based upon the at least one procedure and using the plurality of inert containers. The instantiation instructions include instructions to instantiate, within the cluster hosting environment, an API gateway container, a storage container, a distributed computing master node container, at least one solution-specific container, and an orchestrator container. The instructions from the configuration tool further include instructions to communicatively couple all of the containers to the orchestrator container.