AWOL: An Adaptive Write Optimizations Layer

Operating system memory managers fail to consider the population of read versus write pages in the buffer pool or outstanding I/O requests when writing dirty pages to disk or network file systems. This leads to bursty I/O patterns, which stall processes reading data and reduce the efficiency of storage. We address these limitations by adaptively allocating memory between write buffering and read caching and by writing dirty pages to disk opportunistically before the operating system submits them for write-back. We implement and evaluate our methods within the Linux R operating system and show performance gains of more than 30% for mixed read/write workloads.

• Type: Conference
• Year: 2008
• Where: FAST
• Authors: Alexandros Batsakis, Randal C. Burns, Arkady Kanevsky, James Lentini, Thomas Talpey
• Keywords: Dirty Pages, FAST 2008, Operating System, Outstanding I/o Requests, Versus Write Pages