18047938. INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT simplified abstract (Dell Products L.P.)
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 Unanswered Questions
- 1.11 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 18047938 titled 'INFORMATION TECHNOLOGY AUTOMATION BASED ON JOB RETURN ON INVESTMENT
Simplified Explanation
The patent application abstract 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 and calculates the cost and revenue of processing them using local resources and resources over a network.
- It monitors fluctuating costs of network resources and assigns resources based on ROI.
Potential Applications
This technology could be applied in cloud computing environments, data centers, and distributed computing systems to optimize resource allocation based on ROI.
Problems Solved
This technology addresses the challenge of efficiently allocating resources in dynamic environments where costs fluctuate, ensuring optimal ROI for processing job requests.
Benefits
The system helps organizations maximize their ROI by dynamically assigning resources based on cost and revenue considerations, leading to cost savings and improved efficiency.
Potential Commercial Applications
A potential commercial application of this technology could be in cloud service providers, enabling them to offer cost-effective resource allocation solutions to their customers.
Possible Prior Art
One possible prior art could be existing resource allocation algorithms in cloud computing systems that optimize resource usage based on various factors, including cost and performance metrics.
Unanswered Questions
How does the system handle security and privacy concerns when assigning resources over a network?
The abstract does not provide details on how the system addresses security and privacy issues related to processing job requests using resources over a network.
What is the scalability of the system in terms of handling a large number of job requests simultaneously?
The abstract does not mention the scalability of the system in managing a high volume of job requests and resource assignments efficiently.
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.
