Dell products l.p. (20240111604). CLOUD COMPUTING QOS METRIC ESTIMATION USING MODELS simplified abstract
Contents
- 1 CLOUD COMPUTING QOS METRIC ESTIMATION USING MODELS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 CLOUD COMPUTING QOS METRIC ESTIMATION USING MODELS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
CLOUD COMPUTING QOS METRIC ESTIMATION USING MODELS
Organization Name
Inventor(s)
Miguel Paredes Quinones of Campinas (BR)
Romulo Teixeira de Abreu Pinho of Niteroi (BR)
CLOUD COMPUTING QOS METRIC ESTIMATION USING MODELS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240111604 titled 'CLOUD COMPUTING QOS METRIC ESTIMATION USING MODELS
Simplified Explanation
The patent application discloses models to predict quality of service metrics, specifically focusing on predicting response time using occupancy status and trained models. By estimating metrics like response time, the infrastructure can adjust to better meet quality of service requirements.
- Predicting response time using occupancy status and trained models
- Estimating metrics to allow infrastructure to adjust to meet quality of service requirements
Potential Applications
This technology could be applied in various industries where response time is critical, such as:
- Telecommunications
- Transportation
- Healthcare
Problems Solved
This technology helps address the following issues:
- Inefficient response times
- Failure to meet quality of service requirements
Benefits
The benefits of this technology include:
- Improved customer satisfaction
- Enhanced efficiency in service delivery
Potential Commercial Applications
This technology could be commercially applied in:
- Service providers
- Infrastructure management companies
Possible Prior Art
One possible prior art could be predictive analytics models used in other industries to forecast performance metrics.
Unanswered Questions
How does this technology handle real-time data processing?
The article does not provide information on the real-time processing capabilities of the technology.
What is the accuracy rate of the response time predictions?
The article does not mention the accuracy rate of the response time predictions.
Original Abstract Submitted
models to predict quality of service metrics are disclosed. a response time is predicted using an occupancy status of an infrastructure and models that have been trained to predict a response time. estimating a metric, such as the response time, allows the infrastructure to adjust to issues such that requests better satisfy quality of service requirements.
