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The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements
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| Citations: | 22 - 0 self |
BibTeX
@MISC{Trushkowsky_thescads,
author = {Beth Trushkowsky and Peter Bodík and O Fox and Michael J. Franklin and Michael I. Jordan and David A. Patterson},
title = {The SCADS Director: Scaling a Distributed Storage System Under Stringent Performance Requirements},
year = {}
}
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Abstract
Elasticity of cloud computing environments provides an economic incentive for automatic resource allocation of stateful systems running in the cloud. However, these systems have to meet strict performance Service-Level Objectives (SLOs) expressed using upper percentiles of request latency, such as the 99th. Such latency measurements are very noisy, which complicates the design of the dynamic resource allocation. We design and evaluate the SCADS Director, a control framework that reconfigures the storage system on-the-fly in response to workload changes using a performance model of the system. We demonstrate that such a framework can respond to both unexpected data hotspots and diurnal workload patterns without violating strict performance SLOs. 1
Keyphrases
storage system scad director stringent performance requirement upper percentile request latency unexpected data hotspot dynamic resource allocation economic incentive latency measurement workload change automatic resource allocation performance model control framework stateful system strict performance service-level objective diurnal workload pattern strict performance slos
