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Unified High-Performance I/O: One Stack to Rule Them All

Authors: 

Animesh Trivedi, Patrick Stuedi, Bernard Metzler, and Roman Pletka, IBM Research Zurich; Blake G. Fitch, IBM Research; Thomas R. Gross, ETH Zurich

Abstract: 

Fast non-volatile memories are exposing inefficiencies in traditional I/O stacks. Though there have been fragmented efforts to deal with the issues, there is a pressing need for a high-performance storage stack. Interestingly, 20 years ago, networks were faced with similar challenges, which led to the development of concepts and implementations of multiple high-performance network stacks. In this paper we draw parallels to illustrate synergies between high-performance storage requirements and concepts from the networking space. We identify common high-performance I/O properties and recent efforts in storage to achieve those properties. Instead of reinventing the performance wheel, we advocate a case for using mature high-performance networking abstractions and frameworks to meet the storage demands, and discuss opportunities and challenges that arise with this unification.

Animesh Trivedi, IBM Research, Zurich

Patrick Stuedi, IBM Research Zurich

Bernard Metzler, IBM Research Zurich

Roman Pletka, IBM Research Zurich

Blake G. Fitch, IBM Researc

Thomas R. Gross, ETH Zurich

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BibTeX
@inproceedings {181926,
author = {Animesh Trivedi and Patrick Stuedi and Bernard Metzler and Roman Pletka and Blake G. Fitch and Thomas R. Gross},
title = {{Unified} {High-Performance} {I/O}: One Stack to Rule Them All},
booktitle = {14th Workshop on Hot Topics in Operating Systems (HotOS XIV)},
year = {2013},
address = {Santa Ana Pueblo, NM},
url = {https://www.usenix.org/conference/hotos13/session/trivedi},
publisher = {USENIX Association},
month = may,
}
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