Controlling virtual endpoint failover during administrative SCSI target port disable/enable

    公开(公告)号:US09747180B1

    公开(公告)日:2017-08-29

    申请号:US14675396

    申请日:2015-03-31

    Inventor: Robert Fair

    CPC classification number: G06F11/201 G06F11/2005 G06F11/2033 G06F2201/815

    Abstract: Embodiments are described for systems and methods that facilitate control of virtual endpoint failover/failback during an administrative SCSI target port disable or enable operation. In this case, SCSI target virtual endpoints may failover to a secondary SCSI target port when the primary port fails. When the primary port is corrected and enabled by the administrator the failover method pulls virtual endpoints on secondary ports back to the primary port under administrator control; and if an administrator wishes to manually disable a SCSI target port the failover operation pushes (failover) all virtual endpoints currently using the port as a primary to a secondary port.

    System and Method for Determining and Visualizing Efficiencies and Risks in Computing Environments

    公开(公告)号:US20170230247A1

    公开(公告)日:2017-08-10

    申请号:US15494797

    申请日:2017-04-24

    Applicant: Cirba IP Inc.

    Abstract: A method comprises displaying indicators based on a corresponding score quantifying efficiencies and/or risks associated with computing entities; wherein each indicator is positioned in a graphical representation according to the corresponding score such that the positioned indicator shows in a spatial manner, relative efficiencies and/or risks for the corresponding entity by positioning the indicator in one of: (i) a first portion indicative of risk associated with having infrastructure in the computing environment that cannot service workload demands and meet criteria specified in at least one operational policy, (ii) a second portion indicative of an amount of infrastructure in the computing environment that can service workload demands based on the at least one operational policy, or (iii) a third portion indicative of inefficiencies associated with having more than the required amount of infrastructure in the computing environment to service workload demands based on the at least one operational policy.

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