Abstract
It has been a new approach that flash memory is used as storage media to improve database system performance.In the current flash database system,to solve the problems of low search performance,improper log region allocation,and high index update cost in storage management,a forecasting algorithm based on the latest version of Bloom Filter was proposed,record locator and log summary structure were introduced,and a self-adaptive mechanism based on flash search and update cost estimate model were given.The experimental results prove that it can make a proper log region allocation,efficiently improve search performance,and reduce non-clustered index update cost.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.