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Featured researches published by John Colgrove.
international conference on management of data | 2015
John Colgrove; John Davis; John Hayes; Ethan L. Miller; Cary Sandvig; Russell Sears; Ari Tamches; Neil Vachharajani; Feng Wang
Although flash storage has largely replaced hard disks in consumer class devices, enterprise workloads pose unique challenges that have slowed adoption of flash in ``performance tier storage appliances. In this paper, we describe Purity, the foundation of Pure Storages Flash Arrays, the first all-flash enterprise storage system to support compression, deduplication, and high-availability. Purity borrows techniques from modern database and key-value storage architectures, and introduces novel storage primitives that have wide applicability to data management systems. For instance, all writes in Purity are monotonic, and deletions are handled using an atomic predicate-based tuple elision primitive. Puritys redundancy mechanisms are optimized for SSD failure modes and performance characteristics, allowing for fast recovery from component failures and lower space overhead than the best hard disk systems. We built deduplication and data compression schemes atop these primitives. Flash changes storage capacity/performance tradeoffs: unlike disk-based systems, flash deployments are rarely performance bound. A single Purity appliance can provide over 7GiB/s of throughput on 32KiB random I/Os, even through multiple device failures, and while providing asynchronous off-site replication. Typical installations have 99.9% latencies under 1ms, and production arrays average 5.4x data reduction and 99.999% availability. Purity takes advantage of storage performance increasing more rapidly than computational performance to build a simpler (with respect to engineering, installation, and management) scale-up storage appliance that supports hundreds of terabytes of highly-available, high-performance storage. The resulting performance and capacity supports many customer deployments of multiple applications, including scale-out and parallel systems, such as MongoDB and Oracle RAC, on a single Purity appliance.
Archive | 2010
John Colgrove; John Hayes; Bo Hong; Ethan L. Miller
Archive | 2013
John Colgrove; John Hayes; Bo Hong; Ethan L. Miller
Archive | 2011
John Colgrove; John Hayes; Ethan L. Miller; Cary Sandvig
Archive | 2014
John Colgrove; John Hayes; Ethan L. Miller
Archive | 2010
John Colgrove; John Hayes; Bo Hong; Ethan L. Miller
Archive | 2014
Ethan L. Miller; John Colgrove; John Hayes
Archive | 2010
John Colgrove; John Hayes; Bo Hong; Ethan L. Miller
Archive | 2010
John Colgrove; John Hayes; Bo Hong; Ethan L. Miller
Archive | 2014
John Colgrove; Ethan L. Miller; John Hayes; Cary Sandvig; Christopher Golden; Jianting Cao; Grigori Inozemtsev