PaaS Deployment Throughput via Segmented Job Queues
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Solution Overview
Problem
Current systems for managing application installations and resources, particularly in large deployments, face challenges in efficiently provisioning and managing computing resources and scaling PaaS environments to meet demand.
Innovation Solution
The implementation of a platform as a service (PaaS) management system that includes a portal for receiving deployment jobs, PaaS nodes for executing these jobs, a queue module for managing job actions, and a coordinator module for tracking and reporting, utilizing load balancing and thread-safe locking mechanisms to ensure efficient resource allocation and deployment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional PaaS deployment methods are used, then resource provisioning can be achieved, but deployment speed and throughput are limited
Solution Approach 1:
The patent segments the deployment process into independent, concurrent tasks that can be executed in parallel across multiple PaaS nodes. Deployment jobs are divided into discrete units that can be processed simultaneously, transforming a sequential process into a parallel one, thereby increasing throughput and reducing overall deployment time.
Solution Approach 2:
The system performs preliminary actions by pre-configuring PaaS nodes and maintaining ready-state resources before deployment requests arrive. The load balancer and node registry are pre-established, and nodes can be dynamically activated in advance, reducing the time required when actual deployment tasks need to be executed.
2Adaptability or versatility
If PaaS environments are scaled to meet demand, then service capacity increases, but system complexity increases
Solution Approach 1:
The patent implements universal, standardized PaaS nodes that can perform multiple functions and handle various deployment tasks. These nodes use common communication protocols and interfaces, allowing them to be deployed in different quantities and configurations without increasing system complexity. The standardized architecture enables easy scaling while maintaining manageability.
Solution Approach 2:
The load balancer acts as an intermediary that manages the complexity of coordinating multiple PaaS nodes. It abstracts the underlying node management complexity from deployment requests, providing a simplified interface for resource allocation and task distribution, thereby enabling scaling without proportionally increasing operational complexity.
3Productivity
If resource provisioning is done on-demand, then resource utilization is optimized, but coordination overhead increases
Solution Approach 1:
The system implements feedback mechanisms where PaaS nodes report their status, resource availability, and task completion to the load balancer. This feedback loop enables dynamic, on-demand resource provisioning while maintaining coordinated control. The load balancer uses this feedback to make intelligent decisions about task allocation, optimizing resource utilization without requiring complex manual coordination.
Data Source
AI summary
Systems and methods are disclosed for managing the throughput of a platform as a service (PaaS) system. A plurality of PaaS nodes receives deployment jobs, such as from an interface by way of a load balancer. The PaaS nodes extract deployment actions and an action count and post the deployment actions to a queue. The PaaS nodes also initiate, in a coordinator, a counter for the deployment job. The PaaS nodes retrieve deployment actions from the queue and execute them, such as in one of a plurality of threads in a flexible thread pool. Upon completing the action, the PaaS nodes report update the counter corresponding to the deployment job of the action. When a counter for a deployment jobs reaches the action count for the job, completion is reported.