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公开(公告)号:US20220382603A1
公开(公告)日:2022-12-01
申请号:US17819190
申请日:2022-08-11
Applicant: VMware, Inc.
Inventor: YASH BHATNAGAR , NAINA VERMA , MAGESHWARAN RAJENDRAN , AMIT KUMAR , VENKATA NAGA MANOHAR KONDAMUDI
IPC: G06F9/50 , G06N5/04 , H04L41/147 , G06N20/00
Abstract: Disclosed are various embodiments for generating recommended replacement host machines for a datacenter. The recommendations can be generated based upon an analysis of historical workload usage across the datacenter. Clusters can be generated that cluster workloads together that are similar. Purchase plans can be generated based upon the identified clusters and benchmark data regarding servers.
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公开(公告)号:US20220368615A1
公开(公告)日:2022-11-17
申请号:US17370158
申请日:2021-07-08
Applicant: VMWARE, INC.
Inventor: YASH BHATNAGAR , NAINA VERMA , CHAITANYA KRISHNA MULLANGI , CHANDRASHEKHAR JHA , AMIT KUMAR
Abstract: Agentless method to automatically detect low latency groups in containerized infrastructures includes obtaining information about communication across workloads within a cluster of containers implemented by an operating environment. The information identifies multiple pairs of containers. Each pair includes a network source container and a corresponding network destination container. The information includes, for each pair of containers, a corresponding latency associated with a network call between the network source container and the corresponding network destination container. An undirected graph is generated using the obtained information. The undirected graph represents a node-wide latency within the cluster. Using the undirected graph, nodes within the cluster with a latency less than a threshold latency level are grouped. Grouped nodes with latencies less than the threshold latency level are provided
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公开(公告)号:US20210342199A1
公开(公告)日:2021-11-04
申请号:US16910115
申请日:2020-06-24
Applicant: VMWARE, INC.
Inventor: YASH BHATNAGAR , NAINA VERMA , MAGESHWARAN RAJENDRAN , AMIT KUMAR , VENKATA NAGA MANOHAR KONDAMUDI
Abstract: Disclosed are various embodiments for generating recommended replacement host machines for a datacenter. The recommendations can be generated based upon an analysis of historical workload usage across the datacenter. Clusters can be generated that cluster workloads together that are similar. Purchase plans can be generated based upon the identified clusters and benchmark data regarding servers.
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