International business machines corporation (20240134717). POWER AND ENERGY OPTIMIZATION ACROSS DISTRIBUTED CLOUD ENVIRONMENT simplified abstract

POWER AND ENERGY OPTIMIZATION ACROSS DISTRIBUTED CLOUD ENVIRONMENT

Organization Name

international business machines corporation

Inventor(s)

Mathews Thomas of Flower Mound TX (US)

Utpal Mangla of Toronto (CA)

Sai Srinivas Gorti of Irving TX (US)

Sharath Prasad Krishna Prasad of Flower Mound TX (US)

Venkatesh Ashok Rao Rao of Natick MA (US)

Praveen Jayachandran of Bangalore (IN)

Eric Lee Gose of Dallas TX (US)

Juel Daniel Raju of Garland TX (US)

Amandeep Singh of Carrollton TX (US)

POWER AND ENERGY OPTIMIZATION ACROSS DISTRIBUTED CLOUD ENVIRONMENT - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240134717 titled 'POWER AND ENERGY OPTIMIZATION ACROSS DISTRIBUTED CLOUD ENVIRONMENT

Simplified Explanation

The patent application abstract describes an approach for managing workload deployment in a distributed network, including edge computing. The approach involves deploying modules such as EMM (Energy Management Module), LDM (Localized Deployment Manager), and EDM (Edge Deployment Manager) to monitor and manage energy consumption at edge nodes and develop a holistic energy management system.

• EMM (Energy Management Module), LDM (Localized Deployment Manager), and EDM (Edge Deployment Manager) are deployed to manage energy consumption at edge nodes.
• The modules communicate with each other to develop energy management policies, algorithms, and plans for effective workload energy management.

Potential Applications

The technology can be applied in various industries such as telecommunications, IoT, and cloud computing for efficient energy management in distributed networks.

Problems Solved

1. Efficient energy management in distributed networks. 2. Optimization of workload deployment in edge computing environments.

Benefits

1. Reduced energy consumption. 2. Improved performance of edge nodes. 3. Enhanced overall energy management system.

Potential Commercial Applications

"Efficient Energy Management System for Distributed Networks: Applications in Telecommunications, IoT, and Cloud Computing"

Possible Prior Art

There may be prior art related to energy management systems in distributed networks, edge computing, and workload deployment optimization.

How does the approach ensure real-time monitoring of energy consumption at edge nodes?

The abstract does not provide details on the specific mechanisms used for real-time monitoring of energy consumption at edge nodes. This information would be crucial for understanding the practical implementation of the approach.

What are the specific energy policies and algorithms developed by the modules for effective energy management?

The abstract mentions the development of energy policies and algorithms by the modules, but does not elaborate on the specifics of these policies and algorithms. Understanding the details of these would provide insights into the effectiveness of the energy management system.

Original Abstract Submitted

an approach for managing workload deployment in a distributed network, including edge computing is provided. the approach includes deploying several modules, such as, emm (energy management module), ldm (localized deployment manager) and edm (edge deployment manager). these modules will be constantly monitoring and managing the energy consumption at the edge nodes under their purview and communicate with other modules to develop a holistic energy management system (e.g., energy policies, energy algorithms, energy plans, etc.) to ensure the most effective energy management of workload is implemented.