Metadata-intensive I/O performance optimization by merging read/write requests

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Pages1859-1864
Number of pages6
DOIs
StatePublished - 2013
Event2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013 - Beijing, China
Duration: 20 Aug 201323 Aug 2013

Publication series

NameProceedings - 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

Conference

Conference2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013
Country/TerritoryChina
CityBeijing
Period20/08/1323/08/13

Keywords

  • Merging requests
  • Metadata-intensive I/O
  • Performance optimization

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