DMCA
Stout: An Adaptive Interface to Scalable Cloud Storage
Cached
Download Links
| Citations: | 16 - 0 self |
BibTeX
@MISC{Mccullough_stout:an,
author = {John C. Mccullough and John Dunagan and Alec Wolman and Alex C. Snoeren},
title = {Stout: An Adaptive Interface to Scalable Cloud Storage},
year = {}
}
Share
 |
 |
 |
 |
||
OpenURL
Abstract
Many of today’s applications are delivered as scalable, multi-tier services deployed in large data centers. These services frequently leverage shared, scale-out, key-value storage layers that can deliver low latency under light workloads, but may exhibit significant queuing delay and even dropped requests under high load. Stout is a system that helps these applications adapt to variation in storage-layer performance by treating scalable key-value storage as a shared resource requiring congestion control. Under light workloads, applications using Stout send requests to the store immediately, minimizing delay. Under heavy workloads, Stout automatically batches the application’s requests together before sending them to the store, resulting in higher throughput and preventing queuing delay. We show experimentally that Stout’s adaptation algorithm converges to an appropriate batch size for workloads that require the batch size to vary by over two orders of magnitude. Compared to a non-adaptive strategy optimized for throughput, Stout delivers over 34 × lower latency under light workloads; compared to a non-adaptive strategy optimized for latency, Stout can scale to over 3 × as many requests. 1.
Keyphrases
adaptive interface scalable cloud storage light workload non-adaptive strategy appropriate batch size scalable key-value storage many request heavy workload storage-layer performance low latency today application high load key-value storage layer congestion control batch size stout send request multi-tier service adaptation algorithm converges large data center
