View source for Vmware, inc. (20240248748). METHODS AND SYSTEMS FOR PRIORITIZING IDENTIFICATION OF SUBOPTIMAL RESOURCES IN A DISTRIBUTED COMPUTING ENVIRONMENT simplified abstract

=METHODS AND SYSTEMS FOR PRIORITIZING IDENTIFICATION OF SUBOPTIMAL RESOURCES IN A DISTRIBUTED COMPUTING ENVIRONMENT=


==Organization Name==

[[:Category:vmware, inc.|vmware, inc.]]


[[Category:vmware, inc.]]

==Inventor(s)==

[[:Category:CHANDRASHEKHAR Jha of Bangalore (IN)|CHANDRASHEKHAR Jha of Bangalore (IN)]][[Category:CHANDRASHEKHAR Jha of Bangalore (IN)]]

[[:Category:Kameswaran Subramanian of Palo Alto CA (US)|Kameswaran Subramanian of Palo Alto CA (US)]][[Category:Kameswaran Subramanian of Palo Alto CA (US)]]

[[:Category:Iwan Rahabok of Suntec City (SG)|Iwan Rahabok of Suntec City (SG)]][[Category:Iwan Rahabok of Suntec City (SG)]]

[[:Category:Varghese Philipose of Dubai (AE)|Varghese Philipose of Dubai (AE)]][[Category:Varghese Philipose of Dubai (AE)]]

[[:Category:Tigran Matevosyan of Yerevan (AM)|Tigran Matevosyan of Yerevan (AM)]][[Category:Tigran Matevosyan of Yerevan (AM)]]

==METHODS AND SYSTEMS FOR PRIORITIZING IDENTIFICATION OF SUBOPTIMAL RESOURCES IN A DISTRIBUTED COMPUTING ENVIRONMENT - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240248748 titled 'METHODS AND SYSTEMS FOR PRIORITIZING IDENTIFICATION OF SUBOPTIMAL RESOURCES IN A DISTRIBUTED COMPUTING ENVIRONMENT

The patent application is for automated computer-implemented methods and systems for prioritizing recommended suboptimal resources of a data center. These methods and systems aim to save time and increase the accuracy of identifying actual suboptimal resources and executing remedial measures to correct them.

* Automated computer-implemented methods and systems for prioritizing recommended suboptimal resources of a data center
* Time-saving and increased accuracy in identifying actual suboptimal resources
* Executing remedial measures to correct suboptimal resources

Potential Applications:
This technology can be applied in various data centers and IT infrastructure environments to optimize resource allocation and improve overall performance.

Problems Solved:
This technology addresses the challenge of efficiently identifying and addressing suboptimal resources in a data center, leading to enhanced operational efficiency.

Benefits:
The benefits of this technology include improved resource utilization, enhanced performance, and streamlined operations in data center environments.

Commercial Applications:
This technology can be utilized by data center operators, IT companies, and cloud service providers to enhance the efficiency and effectiveness of their operations.

Questions about Automated Computer-Implemented Methods and Systems for Prioritizing Recommended Suboptimal Resources of a Data Center:
1. How does this technology improve the accuracy of identifying suboptimal resources in a data center?
   - This technology utilizes automated methods to analyze and prioritize recommended suboptimal resources, leading to more accurate identification and remediation.
2. What are the potential cost-saving implications of implementing this technology in a data center environment?
   - By efficiently addressing suboptimal resources, this technology can help reduce operational costs and improve resource utilization in data center environments.


==Original Abstract Submitted==

this disclosure is directed to automated computer-implemented methods and systems for prioritizing recommended suboptimal resources of a data center. methods and system described herein save time and increase the accuracy of identifying actual suboptimal resources and executing remedial measures to correct the suboptimal resources.



[[Category:G06F9/48]]
[[Category:G06F18/2413]]
[[Category:G06F18/2431]]
[[Category:CPC_G06F9/4818]]