Abstract
With the development of the information age, the volume of data is exploding and the operational and performance requirements of massive data are difficult to balance. The high cost of distributed storage systems with high data reliability and excellent random read and write performance, often consisting of multiple racks, multiple nodes and hundreds of disks, is a thorny issue for researchers. A tool to predict the performance of distributed storage architectures has been built based on a study of the cost of distributed storage architectures. Without hardware, enabling low cost and fast performance prediction. It also provides performance data and latency density to compare the performance of different workloads and architectures more intuitively, providing ideas for optimising the performance of distributed systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Frontiers in Engineering Technology
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.
