公开(公告)号：US20190354420A1

公开(公告)日：2019-11-21

申请号：US15982462

申请日：2018-05-17

Applicant: International Business Machines Corporation

Inventor： Vidhya Shankar VENKATESAN ,  Anand HARIDASS ,  Diyanesh B. CHINNAKKONDA VIDYAPOORNACHARY ,  Arun JOSEPH

IPC: G06F11/07 ,  G06F11/30 ,  G06F11/32 ,  H04N7/18

Abstract: Embodiments relate to monitoring computing hardware in a computing infrastructure facility. Image data and environmental data are received and a current operational status for a computing hardware component is determined from the image data. A hardware operational status tracking model and environment tracking model for the computing hardware component are updated. Embodiments can perform a root cause analysis if the current operational status is a fault status to determine if the fault status was caused by environmental conditions.

公开(公告)号：US20190340552A1

公开(公告)日：2019-11-07

申请号：US15968890

申请日：2018-05-02

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Dustin W. DEMETRIOU ,  Vidhya Shankar VENKATESAN ,  Milnes P. DAVID ,  Michael J. ELLSWORTH, JR.

IPC: G06Q10/06 ,  G06T1/00 ,  G06K9/62 ,  G06T7/20 ,  H04L12/26 ,  H04L12/24 ,  H04L12/14

Abstract: Automated managing of a data center installation is provided. The managing includes evaluating, at least in part by image processing analysis, a captured image of at least a portion of the data center installation to identify a component-related deficiency within the data center installation. One or more measurements within a data center are used to determine an energy penalty due to the identified component-related deficiency within the data center installation, and an action to correct the component-related deficiency within the data center installation is initiated based on the energy penalty exceeding a predefined threshold.