Sios Technology Corporation

Yokuki To

Sergey A Razin

Spencer Hall Robinson

James Bernard Crocker

Harold Jason Treulich

Paul R Clements, Jr

Joe Moukabaa

Travis Goldie

Tracy L Marlatt

Scott Thoman

A host device includes a controller configured to receive input/output (IO) access information associated with an IO workload, the IO access information identifying at least one of a read action and a write action associated with the IO workload over a period of time. Based upon the received IO access information associated with the storage element, the controller is configured to derive a predicted cache access ratio associated with the IO workload and relating a predicted number of cache accesses associated with the IO workload with at least one of a total number of read actions and a total number of write actions associated with the IO workload. When the predicted cache access ratio reaches a threshold cache access ratio value, the controller is configured to identify the IO workload as an IO workload candidate for caching by the host device.

Apparatus and method of performing agentless remote IO catching analysis, prediction, automation, and recommendation in a computer environment

Embodiments of the innovation relate to a host device having a memory and a processor, the host device configured to determine an anomaly associated with an attribute of a computer environment resource of the computer infrastructure. The host device is configured to correlate an object associated with the attribute of the detected anomaly with a related object of the computer infrastructure. The host device is configured to determine a root cause probability for each object of the correlated objects, the root cause probability identifying a probability of the correlated object functioning as a cause of the detected anomaly. The host device is configured to output an identification of a root object associated with the anomaly based upon the identified root cause probability.

Apparatus and method of leveraging semi-supervised machine learning principals to perform root cause analysis and derivation for remediation of issues in a computer environment

A host server is configured to receive information related to metrics and configurations associated with computer resources of a computer infrastructure, derive and resolve the information into capacity, performance, reliability, and efficiency, as related to attributes associated with the computer resources, including compute attributes such as application, virtual machine (VM) attributes, storage attributes, and network attributes. The host server provides the metrics and attributes in a matrix configuration as a graphical user interface (GUI) on an output device, such as a display. The GUI is configured to provide a user with a single point of view into the computer infrastructure by converging application, compute, storage, and network attributes into capacity, performance, reliability, and efficiency concepts. With such a configuration, the GUI allows the end user to readily review the environments for potential issues in a time efficient manner, as well as solutions provided by the GUI.

Interface for orchestration and analysis of a computer environment

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Columbia, SC, United States of America

Yokuki To