INTERNATIONAL BUSINESS MACHINES CORPORATION (20240231954). 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 20240231954 titled 'POWER AND ENERGY OPTIMIZATION ACROSS DISTRIBUTED CLOUD ENVIRONMENT

Simplified Explanation:

The patent application provides an approach for managing workload deployment in a distributed network, including edge computing. This approach involves deploying modules like 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.

• Constant monitoring and management of energy consumption at edge nodes
• Communication between modules to develop energy management system
• Implementation of energy policies, algorithms, and plans for effective workload energy management

Key Features and Innovation:

• Deployment of modules for energy management in a distributed network
• Constant monitoring and management of energy consumption at edge nodes
• Communication between modules to develop a holistic energy management system

Potential Applications:

This technology can be applied in various industries such as telecommunications, IoT, smart cities, and industrial automation for efficient energy management in distributed networks.

Problems Solved:

This technology addresses the challenges of managing energy consumption at edge nodes in a distributed network, ensuring effective workload energy management.

Benefits:

• Improved energy efficiency in distributed networks
• Enhanced workload energy management
• Cost savings through optimized energy consumption

Commercial Applications:

The technology can be utilized in industries such as telecommunications, IoT, smart cities, and industrial automation for efficient energy management, leading to cost savings and improved performance.

Prior Art:

Readers can explore prior art related to energy management in distributed networks, edge computing, and workload deployment to gain a deeper understanding of the technology landscape.

Frequently Updated Research:

Stay updated on the latest research in energy management, edge computing, and distributed network technologies to enhance knowledge and insights into the field.

Questions about Energy Management in Distributed Networks:

1. How does the approach in the patent application improve energy management in distributed networks? 2. What are the potential challenges in implementing the energy management modules in edge computing environments?

By providing a comprehensive overview of the technology, potential applications, and benefits, readers can gain a deeper understanding of the innovative approach to energy management in distributed networks.

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.