uFLIP: Understanding Flash IO Patterns
Luc Bouganim (INRIA), Bj\"orn J\'onsson (Reykjav\'ik University),, Philippe Bonnet (Department of Computer Science, University of Copenhagen)

TL;DR
This paper introduces uFLIP, a benchmark for analyzing flash IO patterns, providing insights into their performance characteristics to guide the design of flash-based storage systems.
Contribution
It presents a new benchmark and methodology for measuring flash IO patterns, along with empirical results from eleven devices to inform system design.
Findings
Identified key performance characteristics of flash IO patterns.
Provided design hints for optimizing flash-based systems.
Benchmark results across eleven flash devices.
Abstract
Does the advent of flash devices constitute a radical change for secondary storage? How should database systems adapt to this new form of secondary storage? Before we can answer these questions, we need to fully understand the performance characteristics of flash devices. More specifically, we want to establish what kind of IOs should be favored (or avoided) when designing algorithms and architectures for flash-based systems. In this paper, we focus on flash IO patterns, that capture relevant distribution of IOs in time and space, and our goal is to quantify their performance. We define uFLIP, a benchmark for measuring the response time of flash IO patterns. We also present a benchmarking methodology which takes into account the particular characteristics of flash devices. Finally, we present the results obtained by measuring eleven flash devices, and derive a set of design hints that…
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Taxonomy
TopicsAdvanced Data Storage Technologies · Caching and Content Delivery · Peer-to-Peer Network Technologies
