Dell Products Inc.

Rajini Ramachandran Karthik

Muzhar S Khokhar

Ching-Yun Chao

Vinay Sawal

Anil Venkatesh Varkhedi

Yi Fang

Deepak Krishna

Ratnesh Yadav

John Korchemniy

Rajesh Basa

Rajeev Rangappa

Suresh Attuluri

Shashank Holakkal

Andrea Roggerone

Puneeth Chowdary Kosaraju

Eric Randal Young

Methods and systems for managing operation of infrastructure are disclosed. The operation of the infrastructure may be managed by limiting activity that may be performed by the infrastructure. The activity may be limited by restricting tasks that may be added to queues of tasks that the infrastructure is authorized to perform. The content of the queues may be limited during workflow selection, task identified for workflows, and service registration for servicing the queues. The content may be limited using a combination of registration requirements, role based restrictions, and token requirements.

Methods and apparatus for enhancing security in the orchestration platform

Methods and systems for managing operation of data processing systems are disclosed. A management system may obtain resource data based on operation of the data processing systems while using resources managed by the management system. The resource data may be semantically enhanced based on ontology definitions and represented as a graph structure. The graph structure may be used by a graph inference model (e.g., a graph neural network) to obtain predicted tags for the resources. The graph inference model may be based on a plurality of graph structures that may provide information regarding generalized relationships between at least the resources. The predicted tags may be used by the management system to update operation of the data processing systems.

Managing resources using a graph inference model to infer tags

A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: receiving data center asset workload data; capturing a set of the data center asset workload data at predefined time intervals; monitoring data center workload performance using the set of the data center asset workload data; and, predicting an anomaly associated with data center workload performance based upon the monitoring.

Data center workload monitoring via a data center monitoring and management operation

Described herein are methods and a system for managing devices in remote data centers using a cloud service user interface (UI). The cloud service UI receives device management requests to device management application program interface (API). At the cloud service side, the device management requests to device management application program interface (API) are intercepted and converted to device cloud management REST interfaces. The device cloud management REST interfaces to a remote data center of devices, and converted to device native API used to manage a specific device.

Method and system to automate device management user interface hosting of devices, assets, and appliances

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Austin, TX, United States of America

Rajini Ramachandran Karthik