Gecko: A Contention-Oblivious Design for Cloud Storage

Authors: 

Ji Yong Shin, Cornell University; Mahesh Balakrishnan, Microsoft Research; Lakshmi Ganesh, UT Austin; Tudor Marian, Google; Hakim Weatherspoon, Cornell University

Abstract: 

Disk contention is a fact of life in modern data centers, with multiple applications sharing the storage resources of a single physical machine. Log-structured storage designs are ideally suited for such high-contention settings, but historically have suffered from performance problems due to cleaning overheads. In this paper, we introduce Gecko, a novel design for storage arrays where a single log structure is distributed across a chain of drives, physically separating the tail of the log (where writes occur) from its body1. This design provides the benefits of logging – fast, sequential writes for any number of contending applications – while eliminating the disruptive effect of log cleaning activity on application I/O.

 

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BibTeX
@inproceedings {179559,
title = {Gecko: A {Contention-Oblivious} Design for Cloud Storage},
booktitle = {4th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage 12)},
year = {2012},
address = {Boston, MA},
url = {https://www.usenix.org/conference/hotstorage12/workshop-program/presentation/Shin},
publisher = {USENIX Association},
month = jun
}

Presentation Audio