Server Load Prediction via Preliminary Simulation
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Solution Overview
Problem
Existing server load prediction systems lack the ability to predict server loads in advance, leading to potential overloads during changes in production processes, as they only monitor and adjust system configurations after changes occur, rather than anticipating and preparing for them.
Innovation Solution
A server load prediction system that includes an apparatus requirement specification storage unit, a server specification storage unit, an input information creation unit, and a server load calculation unit, which together simulate and predict server loads based on input conditions, allowing for proactive system configuration adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of production apparatuses or cameras is increased to improve production capability, then productivity increases, but server load increases and may exceed permissible range
Solution Approach 1:
The system performs preliminary simulation calculations to predict server load before actually increasing the number of production apparatuses or cameras. By calculating the anticipated load using stored load information and comparing it with the permissible range, the system enables proactive decision-making to prevent overload conditions before they occur.
2Quantity of substance
If the number of servers is increased to handle higher load, then server load capacity increases, but system complexity and cost increase
Solution Approach 1:
The system performs preliminary simulation calculations to predict server load before actually increasing the number of production apparatuses or cameras. By calculating the anticipated load using stored load information and comparing it with the permissible range, the system enables proactive decision-making to prevent overload conditions before they occur.
Solution Approach 2:
The system automatically determines whether the server load is within the permissible range through automated simulation and comparison operations. This self-service capability eliminates the need for manual load assessment and reduces human intervention in system configuration decisions.
3Adaptability or versatility
If system configuration is changed after production process changes, then adaptability improves, but there is a risk of server overload during transition
Solution Approach 1:
The system performs preliminary simulation calculations to predict server load before actually increasing the number of production apparatuses or cameras. By calculating the anticipated load using stored load information and comparing it with the permissible range, the system enables proactive decision-making to prevent overload conditions before they occur.
Solution Approach 2:
The system takes preliminary anti-action by predicting and preventing potential server overload conditions before they can occur during production process changes. The simulation and comparison operations identify potential overload risks in advance, allowing corrective measures to be taken before actual overload occurs.
Data Source
AI summary
Provided is a server load prediction system that predicts a server load on a server connected to an apparatus installed in a production process including an apparatus requirement specification storage unit that stores a requirement specification of each apparatus for a server, a server specification storage unit that stores a server specification indicating a capability held by each server, an input information creation unit that receives an input of a calculation condition and creates an input parameter required to execute a simulation for calculating the server load, a server load calculation unit that calculates the server load caused by the apparatus used in a process designated under the calculation condition by executing the simulation, and an output unit that outputs the calculation result.