Dynamic Compilation Machine Allocation System
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Solution Overview
Problem
Current compilation machine deployment methods, which involve static configuration, lead to low efficiency and high error rates due to human intervention and manual task allocation, especially in environments with limited resources and frequent software releases.
Innovation Solution
A dynamic allocation system that automatically assigns tasks to compilation machines based on current compile state analysis, using three data tables to record project, compilation machine, and task information, and determining optimal allocation by threshold settings for task type and capacity, eliminating the need for human intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static configuration of compilation machines is used, then system simplicity is maintained, but compilation machine efficiency deteriorates and human intervention increases
Solution Approach 1:
The patent implements dynamic allocation of compilation machines through an automated system that continuously monitors task queues and compilation machine states. The system dynamically adjusts task distribution based on real-time conditions, transitioning from static configuration to dynamic adaptation. This resolves the contradiction by enabling high efficiency through automated dynamic decision-making while maintaining system manageability through standardized protocols and interfaces.
Solution Approach 2:
The system enables self-service through automated task allocation where the compilation system itself makes decisions about task distribution without human intervention. The automated allocation mechanism monitors compilation states, manages task queues, and assigns tasks based on predefined rules and real-time conditions, eliminating the need for manual selection and reducing human involvement while maintaining high efficiency.
2Ease of operation
If manual task allocation is used, then ease of operation is maintained, but error rate increases and productivity decreases
Solution Approach 1:
The system eliminates manual task allocation by implementing automated allocation where the system independently monitors compilation states, manages task queues, and assigns tasks based on predefined rules. This self-service mechanism removes human intervention entirely, eliminating human errors while maintaining operational simplicity through standardized interfaces and automated decision-making protocols.
Solution Approach 2:
The system implements continuous feedback loops where the automated allocation mechanism monitors compilation machine states, task completion status, and queue conditions in real-time. Based on this feedback, the system dynamically adjusts task distribution decisions, ensuring optimal allocation while eliminating manual errors. The feedback mechanism maintains ease of operation through automated monitoring and adjustment without requiring human intervention.
3Productivity
If more compilation machines are deployed to handle frequent releases, then productivity improves, but resource cost increases
Solution Approach 1:
The patent implements dynamic task allocation that adapts to varying compilation loads and machine availability in real-time. The system optimizes the utilization of existing compilation machines by dynamically adjusting task distribution based on current states, enabling frequent software releases without proportionally increasing the number of compilation machines. This dynamic adaptation maximizes resource utilization efficiency.
Solution Approach 2:
The system ensures continuous utilization of compilation machines through automated task queue management and state monitoring. By maintaining continuous useful action on available resources and eliminating idle time through automated allocation, the system achieves high productivity with optimized resource usage, avoiding the need to deploy additional machines solely to eliminate idle capacity.
Data Source
AI summary
Systems and methods for dynamic allocation of compilation machines are disclosed. A method includes: initiating and storing a task to be compiled and marking the task in a waiting state to wait for compilation of a compilation machine; fetching a compile command, and analyzing a current compile state of the compilation machine and further determining based on the current compile state whether to set the task to be compiled to continue waiting for compilation or enter a compile stage, wherein if to continue waiting for compilation, then the task to be compiled may be further held in storage; otherwise if to enter the compile stage, then the task may be transmitted to the compilation machine for compilation. Thus, the tasks can be automatically assigned to the compilation machines to achieve efficient use of the compilation machines and reduce the otherwise potential error rate due to human intervention.