17959417. ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE FOR CONTAINER ROUTING simplified abstract (Bank of America Corporation)
Contents
- 1 ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE FOR CONTAINER ROUTING
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE FOR CONTAINER ROUTING - 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
ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE FOR CONTAINER ROUTING
Organization Name
Inventor(s)
George Albero of Charlotte NC (US)
Maharaj Mukherjee of Poughkeepsie NY (US)
Jinna Kim of Charlotte NC (US)
ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE FOR CONTAINER ROUTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 17959417 titled 'ENERGY OPTIMIZATION PLATFORM USING ARTIFICIAL INTELLIGENCE FOR CONTAINER ROUTING
Simplified Explanation
The patent application relates to energy optimization in computing platforms. The platform receives event processing requests, identifies parameters, packages the requests into containers based on the parameters, inputs the parameters into an energy optimization model to determine a data center computing system and energy mix for processing the requests, encrypts the containers, and sends them to the data center computing system along with commands to decrypt and process the requests using the energy mix.
- Computing platform receives event processing requests and identifies parameters
- Parameters are input into an energy optimization model to determine data center computing system and energy mix
- Event processing requests are packaged into containers based on parameters
- Containers are encrypted before being sent to data center computing system
- Data center computing system decrypts containers and processes requests using energy mix
Potential Applications
This technology could be applied in various industries where energy optimization in computing systems is crucial, such as data centers, cloud computing, and IoT devices.
Problems Solved
This technology solves the problem of inefficient energy usage in computing systems by optimizing the energy mix based on the parameters of event processing requests.
Benefits
The benefits of this technology include reduced energy consumption, improved performance of computing systems, and cost savings for businesses operating data centers.
Potential Commercial Applications
One potential commercial application of this technology could be in data center management software, where energy optimization features could be integrated to improve efficiency and reduce operational costs.
Possible Prior Art
One possible prior art for this technology could be existing energy optimization algorithms used in data centers and cloud computing environments.
=== What is the impact of this technology on energy consumption in data centers? This technology could significantly reduce energy consumption in data centers by optimizing the energy mix based on the parameters of event processing requests, leading to more efficient use of resources.
=== How does this technology ensure the security of event processing requests during transmission? This technology ensures the security of event processing requests during transmission by encrypting the containers before sending them to the data center computing system, which then decrypts and processes the requests securely.
Original Abstract Submitted
Aspects of the disclosure relate to energy optimization. A computing platform may receive an event processing request, and may identify its parameters. The computing platform may package, based on the parameters, the event processing request into containers. The computing platform may input the parameters into an energy optimization model, which may identify: a data center computing system and an energy mix for processing the event processing request. The computing platform may encrypt the containers. The computing platform may send, to the data center computing system, the encrypted containers and commands directing the data center computing system to: decrypt the encrypted containers to identify the event processing request, and process the event processing request using the energy mix, which may cause the data center computing system to decrypt the encrypted containers and process the event processing request using the energy mix.
