US 11,843,525 B2
System and method for automatically scaling virtual machine vertically using a forecast system within the computing environment
Wei Li, Milpitas, CA (US); Yu Sun, San Jose, CA (US); and Sandy Lau, Palo Alto, CA (US)
Assigned to VMware, Inc., Palo Alto, CA (US)
Filed by VMware, Inc., Palo Alto, CA (US)
Filed on Nov. 19, 2019, as Appl. No. 16/688,456.
Prior Publication US 2021/0149785 A1, May 20, 2021
Int. Cl. H04L 41/5054 (2022.01); G06F 9/50 (2006.01); G06F 11/30 (2006.01)
CPC H04L 41/5054 (2013.01) [G06F 9/505 (2013.01); G06F 9/5044 (2013.01); G06F 11/301 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A computer-implemented method for automated analysis of features in a computing environment, said method comprising:
automatically monitoring components of said computing environment;
automatically performing a feature capacity utilization analysis of said components of said computing environment; and
provided said feature selection analysis determines that features of said components of said computing environment meet a predefined threshold, performing a resource capacity adjustment while said resource is in operating mode in said computing environment, wherein said computer-implemented method for said automated analysis of said features in said computing environment further comprises:
automatically providing a vertical scaling virtual central processing units (vCPU) to handle resource capacity usage of said components of said computing environment and
wherein said computer-implemented method for said automated analysis of said features in said computing environment does not require an information technology (IT) administrator to manually register the presence or indicate the importance of virtual machines existing in said computing environment.