CAPES: Unsupervised Storage Performance Tuning Using Neural Network-Based Deep Reinforcement Learningwas nominated for a Best Student Paper award at SC17.
Automatic Storage Contention Alleviation and Reduction system (Ascar) is a novel storage traffic management system for improving the bandwidth utilization and fairness of resource allocation. Ascar regulates I/O traffic from the clients using a rule based algorithm that controls the congestion window and request rates; it requires no runtime coordination between clients or with a central coordinator. Ascar produces rules in an unsupervised manner by systematically exploring the solution space of possible rule designs and evaluating the target workload under the candidate rule sets. Evaluation shows that our Ascar prototype can improve the throughput of all tested workloads – some by as much as 35%. The optimization time and controller overhead are unrelated to the scale of the system; thus, it has the potential to support millions of clients. As a pure client-side solution, Ascar needs no change to either the hardware or server software.
A partnership between academia and industry exploring and developing new technologies and techniques to improve the manageability, scalability, security, reliability, longevity, and performance of storage systems.
CRSS facilitates collaboration in research and education, and provides pathways to simplify direct transfer of university developed ideas, research results, and technology to its industrial sponsors, helping them to improve their competitive posture in the global marketplace.
CRSS conducts research in a wide range of storage-related fields and applied security, including archival storage, scalable distributed indexing and non-hierarchical file systems, large-scale distributed storage systems, file systems for next-generation storage devices, and data deduplication.
CRSS is looking for talented students who want to study for an M.S. or Ph.D. at UC Santa Cruz! Grad students at CRSS work closely with faculty and other students, as well as with local industry. Our graduates typically have multiple job offers, whether from industry, government, or academia.