research-article

Treating the Storage Stack Like a Network

Authors:

Ioan Stefanovici,

Bianca Schroeder,

Eno ThereskaAuthors Info & Claims

ACM Transactions on Storage (TOS), Volume 13, Issue 1

Article No.: 2, Pages 1 - 27

https://doi.org/10.1145/3032968

Published: 16 February 2017 Publication History

Abstract

In a data center, an IO from an application to distributed storage traverses not only the network but also several software stages with diverse functionality. This set of ordered stages is known as the storage or IO stack. Stages include caches, hypervisors, IO schedulers, file systems, and device drivers. Indeed, in a typical data center, the number of these stages is often larger than the number of network hops to the destination. Yet, while packet routing is fundamental to networks, no notion of IO routing exists on the storage stack. The path of an IO to an endpoint is predetermined and hard coded. This forces IO with different needs (e.g., requiring different caching or replica selection) to flow through a one-size-fits-all IO stack structure, resulting in an ossified IO stack.

This article proposes sRoute, an architecture that provides a routing abstraction for the storage stack. sRoute comprises a centralized control plane and “sSwitches” on the data plane. The control plane sets the forwarding rules in each sSwitch to route IO requests at runtime based on application-specific policies. A key strength of our architecture is that it works with unmodified applications and Virtual Machines (VMs). This article shows significant benefits of customized IO routing to data center tenants: for example, a factor of 10 for tail IO latency, more than 60% better throughput for a customized replication protocol, a factor of 2 in throughput for customized caching, and enabling live performance debugging in a running system.

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Cited By

Shao XLi CXu Y(2023)MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS60453.2023.00267(1951-1958)Online publication date: 17-Dec-2023
https://doi.org/10.1109/ICPADS60453.2023.00267
Vaquero LCuadrado FElkhatib YBernal-Bernabe JSrirama SZhani M(2019)Research challenges in nextgen service orchestrationFuture Generation Computer Systems10.1016/j.future.2018.07.03990(20-38)Online publication date: Jan-2019
https://doi.org/10.1016/j.future.2018.07.039
Schmidtke RSchintke FSchütt T(2019)From Application to Disk: Tracing I/O Through the Big Data StackHigh Performance Computing10.1007/978-3-030-02465-9_6(89-102)Online publication date: 25-Jan-2019
https://doi.org/10.1007/978-3-030-02465-9_6

Index Terms

Treating the Storage Stack Like a Network

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cover image ACM Transactions on Storage

ACM Transactions on Storage Volume 13, Issue 1

Special Issue on USENIX FAST 2016 and Regular Papers

February 2017

201 pages

ISSN:1553-3077

EISSN:1553-3093

DOI:10.1145/3054178

Editor:
Sam H. Noh
Ulsan National Institute of Science and Technology, Ulsan, Korea

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Publication History

Published: 16 February 2017

Accepted: 01 December 2016

Received: 01 October 2016

Published in TOS Volume 13, Issue 1

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Cited By

Shao XLi CXu Y(2023)MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS)10.1109/ICPADS60453.2023.00267(1951-1958)Online publication date: 17-Dec-2023
https://doi.org/10.1109/ICPADS60453.2023.00267
Vaquero LCuadrado FElkhatib YBernal-Bernabe JSrirama SZhani M(2019)Research challenges in nextgen service orchestrationFuture Generation Computer Systems10.1016/j.future.2018.07.03990(20-38)Online publication date: Jan-2019
https://doi.org/10.1016/j.future.2018.07.039
Schmidtke RSchintke FSchütt T(2019)From Application to Disk: Tracing I/O Through the Big Data StackHigh Performance Computing10.1007/978-3-030-02465-9_6(89-102)Online publication date: 25-Jan-2019
https://doi.org/10.1007/978-3-030-02465-9_6

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