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Thursday, March 23 • 3:25pm - 4:15pm
Hyper Converged Cache for Distributed Storage - Yuan Zhou, Intel

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Hyper-converged system is becoming increasingly popular in IT infrastructure market, it integrates compute, storage, network and virtualization technologies into a single system.Traditional distribute storage system suffers from performance issues due to the remote data access to storage node and lack important features like deduplication, compression.
In this session, we would like to present a hyper converged cache solution for distributed storage systems. This hyper-converted cache solution employs a plugged framework, configurable cache mode like read-only, write-back and write through, yet provides strong data reliability, crash consistency, rich data services like deduplication and compression. Initial fio with zipf distribution benchmark results showed the hyper-converged cache demonstrated up to 30x performance improvement and 97% latency reduction with one NVMe SSD drive

Speakers
YZ

Yuan Zhou

Yuan Zhou is a Senior Software Development Engineer in the Software and Service Group for Intel Corporation, working in the Data Center and Software Technology team primarily focused on Cloud Storage Software. He has been working in Databases, Virtualization and Cloud computing for most of his 7+ year career at Intel.


Thursday March 23, 2017 3:25pm - 4:15pm
Thomas Paine AB

Attendees (24)