Name
Abstract | ||
|---|---|---|
Writing data to a page not present in the file-system page cache causes the operating system to synchronously fetch the page into memory first. Synchronous page fetch defines both policy (when) and mechanism (how), and always blocks the writing process. Non-blocking writes eliminate such blocking by buffering the written data elsewhere in memory and unblocking the writing process immediately. Subsequent reads to the updated page locations are also made non-blocking. This new handling of writes to non-cached pages allow processes to overlap more computation with I/O and improves page fetch I/O throughput by increasing fetch parallelism. Our empirical evaluation demonstrates the potential of nonblocking writes in improving the overall performance of systems with no loss of performance when workloads cannot benefit from it. Across the Filebench write workloads, non-blocking writes improve benchmark throughput by 7X on average (up to 45.4X) when using disk drives and by 2.1X on average (up to 4.2X) when using SSDs. For the SPECsfs2008 benchmark, nonblocking writes decrease overall average latency of NFS operations between 3.5% and 70% and average write latency between 65% and 79%. When replaying the MobiBench file system traces, non-blocking writes decrease average operation latency by 20-60%. |
Year | Venue | Field |
|---|---|---|
2015 | FAST | File system,Latency (engineering),Computer science,Parallel computing,Page cache,Real-time computing,Fetch,Throughput,Computation |
DocType | Citations | PageRank |
Conference | 11 | 0.56 |
References | Authors | |
35 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Daniel Campello | 1 | 11 | 0.56 |
| Hector Lopez | 2 | 11 | 0.56 |
| Luis Useche | 3 | 120 | 5.25 |
| Ricardo Koller | 4 | 430 | 20.09 |
| Raju Rangaswami | 5 | 750 | 41.17 |