6533b837fe1ef96bd12a2654

RESEARCH PRODUCT

POSTER: Optimizing scientific file I/O patterns using advice based knowledge

James MorseMatthias GrawinkelTim SussFederico PaduaAndré BrinkmannGiuseppe Congiu

subject

Input/outputInstruction prefetchFile systemDatabasebusiness.industryComputer scienceComputer data storagecomputer.software_genrebusinesscomputerAdvice (complexity)

description

Before us, other works have used data prefetching to boost applications performance [1]–[8]. Our approach differs from these works since we do not rely on precise I/O pattern information to predict and prefetch every chunck of data in advance. Instead we use data prefetching to group many small requests in a few big ones, improving applications performance and utilization of the whole storage system. Moreover, we provide the infrastructure that enables users to access file system specific interfaces for guided I/O without modifying applications and hiding the intrinsic complexity that such interfaces introduce.

yearjournalcountryeditionlanguage
2014-09-012014 IEEE International Conference on Cluster Computing (CLUSTER)
https://doi.org/10.1109/cluster.2014.6968763