Dell products l.p. (20240135281). INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT simplified abstract
Contents
- 1 INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT - 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
INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT
Organization Name
Inventor(s)
George Christopher Lincoln, Iv of Temple TX (US)
Susan E. Young of North Scituate RI (US)
INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240135281 titled 'INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT
Simplified Explanation
The patent application describes a system for assigning resources to workloads based on return on investment (ROI), taking into account costs and revenues associated with processing job requests using local resources versus resources over a network.
- The system receives job requests, calculates costs and revenues for processing them locally and over the network, and assigns resources based on ROI.
- Costs of using network resources may fluctuate, impacting the ROI for job requests.
- Continuous monitoring of costs allows for dynamic resource allocation based on ROI.
Potential Applications
This technology could be applied in cloud computing environments, data centers, and distributed computing systems where resource allocation based on ROI is crucial.
Problems Solved
This system solves the problem of inefficient resource allocation by dynamically assigning resources based on ROI, optimizing cost-effectiveness and performance.
Benefits
The benefits of this technology include improved resource utilization, cost savings, increased efficiency, and better overall performance of workloads.
Potential Commercial Applications
Potential commercial applications of this technology include cloud service providers, IT companies, and organizations with high computational workloads seeking to optimize resource allocation for cost-effectiveness.
Possible Prior Art
One possible prior art could be systems for dynamic resource allocation based on workload demands and cost considerations in cloud computing environments.
Unanswered Questions
How does the system handle peak demand scenarios where costs for network resources may significantly increase?
The system may have built-in algorithms to predict peak demand periods and adjust resource allocation accordingly to mitigate cost fluctuations.
What security measures are in place to protect sensitive data when using network resources for processing job requests?
The system may incorporate encryption protocols, access controls, and secure communication channels to ensure data privacy and security when utilizing network resources.
Original Abstract Submitted
a system for assigning resources to workloads based on return on investment (roi) comprises receiving a plurality of job requests and determining a cost and a revenue associated with processing the job requests using local resources and determining a cost and a revenue associated with processing the job requests using resources communicatively coupled over a network. the cost of using resources communicatively coupled over a network may fluctuate, even throughout a day such that the roi for a job request may vary accordingly. embodiments may continuously monitor costs and assign resources based on roi.
