DocumentCode
653448
Title
Metadata-Intensive I/O Performance Optimization by Merging Read/Write Requests
Author
Li Ruan ; Qimeng Wu ; Limin Xiao ; Ke Xie ; Xiang Wang
Author_Institution
State Key Lab. of Software Dev. Environ., Beihang Univ., Beijing, China
fYear
2013
fDate
20-23 Aug. 2013
Firstpage
1859
Lastpage
1864
Abstract
Metadata-intensive applications make metadata access the bottleneck of system. A metadata-intensive I/O performance optimization method by merging read/write requests is proposed. Extensive simulations show that aggregate throughput of intensive metadata access can be increased by up to 8.45 times and average response time can be decreased by up to 99.02 percent when the merging period and request interval is configured as 0.4ms and 0.025ms respectively.
Keywords
input-output programs; meta data; extensive simulations; metadata-intensive I-O performance optimization method; read-write requests; Aggregates; File systems; Merging; Optimization; Servers; Throughput; Time factors; Metadata-intensive I/O; merging requests; performance optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing
Conference_Location
Beijing
Type
conf
DOI
10.1109/GreenCom-iThings-CPSCom.2013.345
Filename
6682356
Link To Document