DocumentCode :
166677
Title :
POSTER: Optimizing scientific file I/O patterns using advice based knowledge
Author :
Congiu, Giuseppe ; Grawinkel, Matthias ; Padua, Federico ; Morse, James ; Suss, Tim ; Brinkmann, Andre
Author_Institution :
Emerging Technol. Group, Seagate Technol., Havant, UK
fYear :
2014
fDate :
22-26 Sept. 2014
Firstpage :
282
Lastpage :
283
Abstract :
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.
Keywords :
cache storage; data structures; storage management; advice based knowledge; data prefetching; file pattern optimization; file system interfaces; storage system utilization; Kernel; Sockets; Sun;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing (CLUSTER), 2014 IEEE International Conference on
Conference_Location :
Madrid
Type :
conf
DOI :
10.1109/CLUSTER.2014.6968763
Filename :
6968763
Link To Document :
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