公开(公告)号：US20240073110A1

公开(公告)日：2024-02-29

申请号：US18072755

申请日：2022-12-01

Applicant: VMWARE, INC.

Inventor： AMITA VASUDEV KAMAT ,  Piyush Hasmukh Parmar ,  Aalap Desai

IPC: H04L41/5061 ,  G06F9/50

CPC classification number: H04L41/5064 ,  G06F9/5072 ,  G06F2209/5019

Abstract: System and computer-implemented method for generating multi-cloud recommendations for workloads uses costs and performance metrics of appropriate instance types in specific public clouds for target workloads to produce recommendation results. The appropriate instance types in the specific public clouds are determined based on instance capabilities and the workload type of the target workloads. In addition, a recommended cloud resource offering is determined for the target workloads, which is sent as a notification with the recommendation results of the appropriate instance types in the specific public clouds.

公开(公告)号：US20250036443A1

公开(公告)日：2025-01-30

申请号：US18378220

申请日：2023-10-10

Applicant: VMware, Inc.

Inventor： AMITA VASUDEV KAMAT ,  Piyush Hasmukh Parmar ,  Pawan Saxena

IPC: G06F9/455

Abstract: System and method for provide a computing infrastructure as a service creates a flexible cloud namespace in a software-defined data center (SDDC) in response to a first instruction from a user and deploys virtual computing instances in the flexible cloud namespace in response to a second instruction from the user. The flexible cloud namespace comprises a logical construct with resources in the SDDC that are supported by underlying SDDC management entities, where the virtual computing instances execute in the flexible cloud namespace of the SDDC using the resources.

公开(公告)号：US20230176924A1

公开(公告)日：2023-06-08

申请号：US17542258

申请日：2021-12-03

Applicant: VMware, Inc.

Inventor： Amita Vasudev Kamat ,  Piyush Hasmukh Parmar ,  Aalap Desai ,  Keith Istvan Farkas

IPC: G06F9/50

CPC classification number: G06F9/5077 ,  G06F9/505 ,  G06F2209/503

Abstract: System and computer-implemented method for autoscaling clusters of host computers in a cloud-based computing environment uses an aggressive scale-in resource utilization threshold that is greater than a corresponding standard scale-in resource utilization threshold to search for any target clusters of host computers in response to a scale-out recommendation for a cluster of host computers to select a candidate cluster of host computers when the number of available reserved resource instance for the cloud-based computing environment is below a predefined value. A scale-in operation is executed on the candidate cluster of host computers to remove an existing resource instance from the candidate cluster of host computers. A scale-out operation is executed on the cluster of host computers using an available resource instance for the cloud-based computing environment.

公开(公告)号：US12088479B2

公开(公告)日：2024-09-10

申请号：US18072755

申请日：2022-12-01

Applicant: VMWARE, INC.

Inventor： Amita Vasudev Kamat ,  Piyush Hasmukh Parmar ,  Aalap Desai

IPC: H04L41/5061 ,  G06F9/50

CPC classification number: H04L41/5064 ,  G06F9/5072 ,  G06F2209/5019

Abstract: System and computer-implemented method for generating multi-cloud recommendations for workloads uses costs and performance metrics of appropriate instance types in specific public clouds for target workloads to produce recommendation results. The appropriate instance types in the specific public clouds are determined based on instance capabilities and the workload type of the target workloads. In addition, a recommended cloud resource offering is determined for the target workloads, which is sent as a notification with the recommendation results of the appropriate instance types in the specific public clouds.

公开(公告)号：US11861413B2

公开(公告)日：2024-01-02

申请号：US17542258

申请日：2021-12-03

Applicant: VMware, Inc.

Inventor： Amita Vasudev Kamat ,  Piyush Hasmukh Parmar ,  Aalap Desai ,  Keith Istvan Farkas

IPC: G06F9/50

CPC classification number: G06F9/5077 ,  G06F9/505 ,  G06F2209/503

Abstract: System and computer-implemented method for autoscaling clusters of host computers in a cloud-based computing environment uses an aggressive scale-in resource utilization threshold that is greater than a corresponding standard scale-in resource utilization threshold to search for any target clusters of host computers in response to a scale-out recommendation for a cluster of host computers to select a candidate cluster of host computers when the number of available reserved resource instance for the cloud-based computing environment is below a predefined value. A scale-in operation is executed on the candidate cluster of host computers to remove an existing resource instance from the candidate cluster of host computers. A scale-out operation is executed on the cluster of host computers using an available resource instance for the cloud-based computing environment.