The Rio file cache

Author:

Chen Peter M.1,Ng Wee Teck1,Chandra Subhachandra1,Aycock Christopher1,Rajamani Gurushankar1,Lowell David1

Affiliation:

1. Computer Science and Engineering Division, Department of Electrical Engineering and Computer Science, University of Michigan

Abstract

One of the fundamental limits to high-performance, high-reliability file systems is memory's vulnerability to system crashes. Because memory is viewed as unsafe, systems periodically write data back to disk. The extra disk traffic lowers performance, and the delay period before data is safe lowers reliability. The goal of the Rio (RAM I/O) file cache is to make ordinary main memory safe for persistent storage by enabling memory to survive operating system crashes. Reliable memory enables a system to achieve the best of both worlds: reliability equivalent to a write-through file cache, where every write is instantly safe, and performance equivalent to a pure write-back cache, with no reliability-induced writes to disk. To achieve reliability, we protect memory during a crash and restore it during a reboot (a "warm" reboot). Extensive crash tests show that even without protection, warm reboot enables memory to achieve reliability close to that of a write-through file system. Adding protection makes memory even safer than a write-through file system while adding essentially no overhead. By eliminating reliability-induced disk writes, Rio performs 4-22 times as fast as a write-through file system, 2-14 times as fast as a standard Unix file system, and 1-3 times as fast as an optimized system that risks losing 30 seconds of data and metadata.

Publisher

Association for Computing Machinery (ACM)

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sego;ACM SIGOPS Operating Systems Review;2016-03-25

2. Towards greener data centers with storage class memory;Future Generation Computer Systems;2013-10

3. The Memory System: You Can't Avoid It, You Can't Ignore It, You Can't Fake It;Synthesis Lectures on Computer Architecture;2009-01

4. On the Analysis of On-Line Database Reorganization;Current Issues in Databases and Information Systems;2000

5. Data Loss Rate versus Mean Time To Failure in Memory Hierarchies;Advances in Systems, Computing Sciences and Software Engineering

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