Storage QoS (PriorityMeister)

Providing for storage QoS in dynamic heterogeneous networks and storage environments in the face of workload interference is an important and challenging problem. We continue to push the state-of-the-art in this space.

PriorityMeister is a novel QoS controller that combines per-workload priorities and rate limiting to provide tail latency QoS for shared networked storage servicing bursty workloads. The combination is important: priority enables latency differentiation, while rate-limiting controls for workload burstiness and throughput interference. PriorityMeister automatically and proactively configures the priorities and rate limits, even for networked storage that involves multiple stages, to provide superior tail latency QoS.

PriorityMeister dataflow diagram.

For earlier PDL research on storage QoS, see: Argon, and Self-* Storage.



Greg Ganger
Mor Harchol-Balter


Alexey Tumanov
Timothy Zhu


Michael A. Kozuch, Intel


  • PriorityMeister: Tail Latency QoS for Shared Networked Storage. Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter, Gregory R. Ganger. ACM Symposium on Cloud Computing 2014 (SoCC'14), Seattle, WA, Nov 2014.
    Abstract / PDF [940K]


We thank the members and companies of the PDL Consortium: Amazon, Facebook, Google, Hewlett Packard Enterprise, Hitachi Ltd., Intel Corporation, IBM, Microsoft Research, NetApp, Inc., Oracle Corporation, Pure Storage, Salesforce, Samsung Semiconductor Inc., Seagate Technology, Two Sigma, and Western Digital for their interest, insights, feedback, and support.