Dell Products, LP (20240377873). SYSTEM AND METHOD TO REDUCE REDUNDANT DATA PROCESSING TASKS EXECUTING ACROSS INTERCONNECTED INTERNET OF THINGS (IOT) EDGE DEVICES AMONG DATA CENTERS VIA A PRIMARY PROCESSING ORCHESTRATION NODE simplified abstract

SYSTEM AND METHOD TO REDUCE REDUNDANT DATA PROCESSING TASKS EXECUTING ACROSS INTERCONNECTED INTERNET OF THINGS (IOT) EDGE DEVICES AMONG DATA CENTERS VIA A PRIMARY PROCESSING ORCHESTRATION NODE

Organization Name

Dell Products, LP

Inventor(s)

Deeder M. Aurongzeb of Austin TX (US)

Malathi Ramakrishnan of Madurai (IN)

Parminder Singh Sethi of Punjab (IN)

SYSTEM AND METHOD TO REDUCE REDUNDANT DATA PROCESSING TASKS EXECUTING ACROSS INTERCONNECTED INTERNET OF THINGS (IOT) EDGE DEVICES AMONG DATA CENTERS VIA A PRIMARY PROCESSING ORCHESTRATION NODE - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240377873 titled 'SYSTEM AND METHOD TO REDUCE REDUNDANT DATA PROCESSING TASKS EXECUTING ACROSS INTERCONNECTED INTERNET OF THINGS (IOT) EDGE DEVICES AMONG DATA CENTERS VIA A PRIMARY PROCESSING ORCHESTRATION NODE

Simplified Explanation: The patent application describes an information handling system for an orchestrating Internet of Things (IoT) gateway that minimizes carbon dioxide (CO2) emissions by optimizing data processing between IoT edge gateways and cloud platforms.

• The system receives processed IoT sensor data from IoT servers via an access point (AP) and determines the CO2 emissions per unit of data transferred to the cloud platform.
• It compares the actual CO2 emissions with estimated emissions if data processing were done locally at the orchestrating IoT gateway instead of the AP servers.
• If the emissions are higher than the estimated amount, the system instructs the AP servers to stop executing the common data processing method to reduce CO2 emissions.

Key Features and Innovation:

• Optimization of data processing to minimize CO2 emissions in IoT networks.
• Comparison of actual and estimated CO2 emissions per unit of data transferred.
• Dynamic adjustment of data processing location based on CO2 emission levels.

Potential Applications: This technology can be applied in various IoT systems where reducing carbon footprint is a priority, such as smart cities, industrial automation, and environmental monitoring.

Problems Solved:

• Minimizing CO2 emissions in IoT data processing.
• Improving energy efficiency in IoT networks.
• Reducing environmental impact of data transfer and processing.

Benefits:

• Lower carbon footprint in IoT operations.
• Energy savings and cost reduction.
• Environmental sustainability and compliance with regulations.

Commercial Applications: Optimizing data processing to reduce CO2 emissions can benefit companies looking to improve their environmental impact, meet sustainability goals, and reduce operational costs in IoT deployments.

Prior Art: Readers interested in prior art related to optimizing data processing for CO2 emission reduction in IoT networks can explore research papers, patents, and industry publications on energy-efficient IoT systems and environmental sustainability in data processing.

Frequently Updated Research: Stay informed about the latest developments in energy-efficient IoT systems, environmental impact assessments in data processing, and innovations in carbon footprint reduction technologies for IoT networks.

Questions about IoT Gateway CO2 Minimization: 1. How does the system determine the estimated CO2 emissions if data processing were done locally at the orchestrating IoT gateway? 2. What are the potential long-term environmental benefits of implementing this technology in IoT networks?

Original Abstract Submitted

an information handling system of an orchestrating internet of things (iot) gateway executing a carbon dioxide (co2) minimizing iot edge gateway data processing orchestration system comprises a network interface device receiving processed iot sensor data generated by alteration of unprocessed iot sensor data via access point (ap) iot servers executing a common data processing method, a processor executing code instructions to determine that an initial volume of co2 emitted per unit of processed sensor data transferred from the ap iot servers to a cloud platform, via the orchestrating iot gateway in an enterprise wide area network, is greater than an adjusted volume of estimated co2 that would be emitted per unit of data if the common data processing method were performed at the orchestrating iot gateway instead of the ap iot servers, and transmitting an instruction to cease execution of the common data processing method at the ap iot servers.