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
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;
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
DOI :
10.1109/GreenCom-iThings-CPSCom.2013.345
