Metadata-Intensive I/O Performance Optimization by Merging Read/Write Requests
Li Ruan, Qimeng Wu, Limin Xiao, Ke Xie, Xiang Wang · 2013
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.