Dell Products Inc.

Rishi Chandra

Abhishek Gupta

Anand Changegowda

Kevin Thomas Marks

Ravishankar Kanakapura Nanjundaswamy

Ravishankar Kanakapura N

Chandrasekhar Revuri

Ravishankar N Kanakapura

Chandrasekhar R

Winston X Fernandes

Nandini Arulmani

Abhinav Anshuman

A disclosed workload distribution method determines a yield index for each microservice associated with a containerized application executing on a potentially heterogeneous cluster information handling systems. Each microservice is then assigned to one of N priority categories based on its yield index, where three is an acceptable, but not exclusive, value of N. Resource configuration profiles are maintained for each of the priority categories. Each resource configuration profile assigns a resource configuration to each microservice. An information handling resource associated with a particular microservice is configured in accordance with the resource configuration assigned to the particular microservice by a particular resource configuration profile corresponding to the yield index. In this manner, workloads can be assigned and resources configured in accordance with the containerized application's priorities as exposed by the value indices.

Method and system for business yield aware workload distribution

In one or more embodiments, one or more systems, one or more methods, and/or one or more processes may: receive performance information for a base workload; determine multiple threshold values of multiple storage media layers of each IHS of a storage cluster based at least on the performance information for the base workload and multiple inventory information respectively associated with multiple storage media layers of each IHS of the storage cluster; receive multiple condition values respectively associated with the multiple storage media layers of an IHS of the storage cluster; determine that a condition value of the multiple condition values associated with a storage media layer of the multiple storage media layers is at or below a threshold value of the multiple threshold values associated with the storage media layer of the multiple storage media layers; and reduce a storage workload of a specific IHS of the storage cluster.

System and method of wear leveling information handling systems of a storage cluster

In one embodiment, a method for managing a plurality of edge devices based on a predicted network bandwidth utilization includes: identifying a plurality of management tasks associated with the plurality of edge devices, each of the plurality of management tasks associated with a priority; determining a management task of the plurality of management tasks to be assigned to an edge device of the plurality of edge devices; accessing a time series indicating the predicted network bandwidth utilization of the plurality of edge devices; generating a threshold value for the management task based on the time series, the threshold value corresponding to a percentage of the predicted network bandwidth utilization and including one or more available time slots; determining that the predicted network bandwidth utilization is less than the threshold value; and assigning the management task to the edge device.

Managing edge devices based on predicted network bandwidth utilization

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Bihar, India

Rishi Chandra