18048467. ANALYSIS OF POTENTIAL FOR REDUCTION OF ENTERPRISE CARBON FOOTPRINT PROFILE simplified abstract (Dell Products L.P.)
Contents
- 1 ANALYSIS OF POTENTIAL FOR REDUCTION OF ENTERPRISE CARBON FOOTPRINT PROFILE
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ANALYSIS OF POTENTIAL FOR REDUCTION OF ENTERPRISE CARBON FOOTPRINT PROFILE - 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 How does this technology compare to existing carbon footprint reduction strategies in data centers?
- 1.11 What are the potential challenges in implementing this technology across a community of data centers?
- 1.12 Original Abstract Submitted
ANALYSIS OF POTENTIAL FOR REDUCTION OF ENTERPRISE CARBON FOOTPRINT PROFILE
Organization Name
Inventor(s)
Pushkala Iyer of Round Rock TX (US)
Lori Lynn Matthews of Austin TX (US)
Rekha Poosala of Bengaluru (IN)
ANALYSIS OF POTENTIAL FOR REDUCTION OF ENTERPRISE CARBON FOOTPRINT PROFILE - A simplified explanation of the abstract
This abstract first appeared for US patent application 18048467 titled 'ANALYSIS OF POTENTIAL FOR REDUCTION OF ENTERPRISE CARBON FOOTPRINT PROFILE
Simplified Explanation
The described technology aims to reduce the carbon footprint of operational workloads at data centers by assessing client requirements and making improvements to hosting and operation.
- Assessment of client requirements for workloads performed on digital data stored at data centers
- Determination of improvements to hosting and operation to reduce carbon footprint
- Reduction of carbon footprint through energy supply choices, server upgrades, workload pooling, etc.
- Local or global implementation of carbon footprint reduction strategies within data centers
Potential Applications
The technology can be applied in various industries where data centers are utilized, such as cloud computing, e-commerce, and telecommunications.
Problems Solved
This technology addresses the environmental impact of data center operations by reducing carbon emissions and promoting sustainable practices.
Benefits
The benefits of this technology include lower carbon footprint, cost savings from energy efficiency improvements, and a positive environmental impact.
Potential Commercial Applications
Commercial applications of this technology include data center management services, sustainability consulting for businesses, and green technology solutions for IT infrastructure.
Possible Prior Art
One possible prior art could be energy-efficient data center designs and practices that aim to reduce carbon emissions. Another could be software solutions for optimizing server performance and energy consumption.
Unanswered Questions
How does this technology compare to existing carbon footprint reduction strategies in data centers?
This article does not provide a direct comparison with existing strategies, leaving room for further analysis on the effectiveness and efficiency of the described technology.
What are the potential challenges in implementing this technology across a community of data centers?
The article does not address the potential challenges that may arise when implementing this technology on a larger scale, such as coordination among multiple data centers, scalability issues, and regulatory compliance.
Original Abstract Submitted
The described technology is generally directed towards reducing the carbon footprint arising from a client's operational workloads performed at a data center. Various embodiments are presented to enable assessment of the client's requirements regarding the workloads performed on digital data stored at one or more data centers. Based thereon, a determination can be made regarding improving the hosting and operation of the workloads to reduce the carbon footprint. The carbon footprint can be reduced based on energy supply to the data center (e.g., fossil fuel versus green energy sources), utilizing newer generation data servers versus older, lower capacity, inefficient data servers, pooling workloads onto a single moderate to high efficiency server, and the like. The determination to reduce the carbon footprint can be performed locally within a data center or globally across a community of data centers.
