Vmware, Inc.

Marvell Asia Pte., Ltd.

Matthew Kim

Zhelong Pan

Varun S Lingaraju

Ke Du

A storage system including a plurality of HDDs, a cooling system, and a system controller is provided. Each of the plurality of HDDs includes a disk, a write head configured to write data to the disk, a microphone, an HDD controller configured to process a signal from the microphone determine noise detected by the microphone, and a housing that houses the disk, the write head, the microphone, and the HDD controller. The cooling system is configured to cool the plurality of the HDDs. The system controller is configured to receive data corresponding to the determined noise detected by the microphones of each of the plurality of HDD, and control a cooling level of the cooling system based on the received data and acoustic noise information associated with each of the plurality of HDDs. A method for operating the storage system is also provided.

Hard disk drive (HDD) with acoustic noise detection

Examples described herein include systems and methods for prioritizing workloads, such as virtual machines, to enforce quality of service ('QoS') requirements. An administrator can assign profiles to workloads, the profiles representing different QoS categories. The profiles can extend scheduling primitives that can determine how a distributed resource scheduler (“DRS”) acts on workloads during various workflows. The scheduling primitives can be used to prioritize workload placement, determine whether to migrate a workload during load balancing, and determine an action to take during host maintenance. The DRS can also use the profile to determine which resources at the host to allocate to the workload, distributing higher portions to workloads with higher QoS profiles. Further, the DRS can factor in the profiles in determining total workload demand, leading to more efficient scaling of the cluster.

Quality of service scheduling with workload profiles

Examples described herein include systems and methods for prioritizing workloads, such as virtual machines, to enforce quality of service ('QoS') requirements. An administrator can assign profiles to workloads, the profiles representing different QoS categories. The profiles can extend scheduling primitives that can determine how a distributed resource scheduler ('DRS') acts on workloads during various workflows. The scheduling primitives can be used to prioritize workload placement, determine whether to migrate a workload during load balancing, and determine an action to take during host maintenance. The DRS can also use the profile to determine which resources at the host to allocate to the workload, distributing higher portions to workloads with higher QoS profiles. Further, the DRS can factor in the profiles in determining total workload demand, leading to more efficient scaling of the cluster.

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San Jose, CA, United States of America

Matthew Kim