Adaptive Service Control Status Checking Period Generation
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Solution Overview
Problem
Conventional cloud interoperation systems face high communication loads and delayed user experience due to inefficient service control verification processes, particularly in multi-cloud environments, where frequent checks lead to resource wastage and prolonged service status updates.
Innovation Solution
Implementing a statistical prediction technique to generate a service control status checking period based on historical data, calculating moving averages and variances, and using probability distributions to optimize communication frequency and reduce unnecessary checks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If checking period is set to a short period, then service control completion verification is improved, but communication load increases
Solution Approach 1:
The checking period is dynamically adjusted based on service type and historical completion time data. The system calculates an optimal checking period for each service control request, making the checking frequency adaptive rather than fixed, thereby balancing verification accuracy with communication load reduction.
Solution Approach 2:
The system changes the checking period parameter based on service characteristics and historical data. By calculating optimal checking periods different from the conventional fixed period, the system optimizes the balance between verification precision and resource consumption.
2Loss of energy
If checking period is set to a long period, then communication load is decreased, but user Quality of Experience deteriorates
Solution Approach 1:
The checking period is dynamically adjusted based on service type and historical completion time data. The system calculates an optimal checking period for each service control request, making the checking frequency adaptive rather than fixed, thereby balancing verification accuracy with communication load reduction.
Solution Approach 2:
The system performs preliminary calculation of the optimal checking period before executing the service control verification. By pre-calculating the appropriate checking frequency based on historical data and service characteristics, the system avoids both excessive checking and insufficient monitoring.
3Reliability
If checking communication is performed continuously at regular intervals, then service control completion is verified, but system resources are wasted when completion probability is low
Solution Approach 1:
The checking period is dynamically adjusted based on service type and historical completion time data. The system calculates an optimal checking period for each service control request, making the checking frequency adaptive rather than fixed, thereby balancing verification accuracy with communication load reduction.
Solution Approach 2:
The system changes the checking period parameter based on service characteristics and historical data. By calculating optimal checking periods different from the conventional fixed period, the system optimizes the balance between verification precision and resource consumption.
Data Source
AI summary
Disclosed herein are apparatus and method for validating service control status. The apparatus for validating service control status includes a service control request unit for requesting control of a service from a computing system, a service control status checking period generation unit for generating a service control status checking period in order to check completion of the service control, and a service control status checking communication unit for performing service control status checking communication with the computing system based on the service control status checking period.


