公开(公告)号：US20170222908A1

公开(公告)日：2017-08-03

申请号：US15407461

申请日：2017-01-17

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Vijay Ram Sevagapandian ,  Vikram Krishnamurthy ,  Thavamaniraja Sakthivel

IPC: H04L12/26 ,  H04L12/751 ,  H04L29/08

CPC classification number: H04L43/0888 ,  H04L41/065 ,  H04L41/12 ,  H04L43/0817 ,  H04L43/0876 ,  H04L45/02 ,  H04L47/122 ,  H04L47/125 ,  H04L67/1038 ,  H04L67/1097

Abstract: In an example implementation, a network topology map with storage paths between servers and storage volumes of storage arrays in a storage network through network switches may be generated. A network switch may be identified from the network switches in the network topology map as a bottleneck by monitoring a performance parameter for each of the network switches. The performance parameter is indicative of I/O load at a port of a respective network switch. Storage volumes in the network topology map and connected to the bottlenecked network switch may be identified, and storage volume I/O metrics associated with each of the servers with respect to the identified storage volumes may be aggregated. Based on the aggregated storage volume I/O metrics, at least one of the servers may be determined as a candidate for a root-cause of the bottleneck.

公开(公告)号：US10228856B2

公开(公告)日：2019-03-12

申请号：US15407719

申请日：2017-01-17

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Vikram Krishnamurthy ,  Vijay Ram Sevagapandian ,  Abhijit Chaudhuri

IPC: G06F3/06

Abstract: A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized. Further, the analysis engine may provide the over-allocation metric, the available space metric, and the time value to a capacity planning unit for storage space management in the virtual environment.

公开(公告)号：US20170222886A1

公开(公告)日：2017-08-03

申请号：US15407483

申请日：2017-01-17

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Vijay Ram S ,  Vikram Krishnamurthy

IPC: H04L12/24 ,  H04L29/08

CPC classification number: H04L67/1097 ,  H04L43/0817

Abstract: In one example, at least one storage usage category for a storage volume identified for metering is determined. The at least one storage usage category may indicate how the storage volume operates to store data over a networked computing environment. Once the at least one storage usage category is determined, a usage value for the storage volume of the at least one storage usage category is obtained, wherein the usage value provides a measure of usage of the storage volume.

公开(公告)号：US20170220261A1

公开(公告)日：2017-08-03

申请号：US15407719

申请日：2017-01-17

Applicant: HEWLETT PACKARD ENTERPRISE DEVELOPMENT LP

Inventor： Vikram Krishnamurthy ,  Vijay Ram Sevagapandian ,  Abhijit Chaudhuri

IPC: G06F3/06

CPC classification number: G06F3/0608 ,  G06F3/0631 ,  G06F3/0665 ,  G06F3/067

Abstract: A storage space management system for a thin provisioned virtual environment may comprise an over-allocation computation engine to compute an over-allocation metric for a virtual datastore. The over-allocation metric may be computed based on virtual storage space allocated to corresponding virtual machines and actual physical storage allocated to the virtual datastore. Further, the over-allocation metric may indicate extent of over-allocation of the actual physical storage to the virtual datastore. An available space computation engine may determine an available space metric for the virtual machines based on available datastore space and available physical storage space. An analysis engine may obtain a time value indicating time left within which storage space available for the virtual machines would be utilized. Further, the analysis engine may provide the over-allocation metric, the available space metric, and the time value to a capacity planning unit for storage space management in the virtual environment.