18262135. PREDICTION IN A DISTRIBUTED NETWORK simplified abstract (Nokia Technologies Oy)
Contents
- 1 PREDICTION IN A DISTRIBUTED NETWORK
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 PREDICTION IN A DISTRIBUTED NETWORK - 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 Original Abstract Submitted
PREDICTION IN A DISTRIBUTED NETWORK
Organization Name
Inventor(s)
PREDICTION IN A DISTRIBUTED NETWORK - A simplified explanation of the abstract
This abstract first appeared for US patent application 18262135 titled 'PREDICTION IN A DISTRIBUTED NETWORK
Simplified Explanation
The abstract describes a communications network where one network node requests predicted data from another network node, which then generates and transmits the predicted data back to the requesting node.
- Network nodes generate requests for predicted data.
- Other network nodes respond to requests by generating and transmitting predicted data.
- The communication network facilitates the exchange of predicted data between nodes.
Potential Applications
The technology described in the patent application could have the following potential applications:
- Predictive maintenance in industrial settings
- Traffic prediction for transportation systems
- Weather forecasting for agriculture
Problems Solved
This technology helps solve the following problems:
- Improving efficiency by predicting future data needs
- Enhancing decision-making based on predicted data
- Streamlining communication between network nodes
Benefits
The technology offers the following benefits:
- Increased accuracy in predicting future data
- Optimized resource allocation based on predicted data
- Enhanced overall network performance
Potential Commercial Applications
The technology could be commercially applied in various industries for:
- Data analytics companies offering predictive services
- IoT devices requiring real-time predictive data
- Financial institutions for market trend predictions
Possible Prior Art
One possible prior art for this technology could be predictive analytics software used in various industries to forecast future trends and patterns based on historical data.
Unanswered Questions
How does the network handle data security and privacy concerns?
The article does not address how the network ensures the security and privacy of the predicted data exchanged between nodes. This is a crucial aspect that needs to be considered in the implementation of such a communication network.
What are the potential limitations of the predictive data generated by the network nodes?
The article does not discuss any potential limitations or inaccuracies in the predicted data generated by the network nodes. It would be essential to understand the reliability and precision of the predicted data for making informed decisions based on the network's output.
Original Abstract Submitted
A communications network comprising network nodes (), one network node being configured to generate a requests () requesting predicted data from at least one other network node. An other network node being configured in response to receiving a request for predicted data, to generate the predicted data and to transmit () the predicted data to the requesting network node.
