Random and Sequence Workload for Web-Scale Architecture for NFS, GlusterFS and MooseFS Performance Enhancement

Random and Sequence Workload for Web-Scale Architecture for NFS, GlusterFS and MooseFS Performance Enhancement

The problem in the data storage method that can support the data processing speed in the network is one of the key problems in big data. As computing speed increases and cluster size increases, I/O and network processes related to intensive data usage cannot keep up with the growth rate and dat...

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Bibliographic Details
Main Authors: Riasetiawan, Mardhani, Amien, Nashihun
Format: Other
Language:English
Published: International Journal of Advanced Computer Science and Applications 2022
Subjects:
Distributed Computing
Online Access:https://repository.ugm.ac.id/284265/1/Random-and-Sequence-Workload-for-WebScale-Architecture-for-NFS-GlusterFS-and-MooseFS-Performance-EnhancementInternational-Journal-of-Advanced-Computer-Science-and-Applications.pdf

Internet

https://repository.ugm.ac.id/284265/1/Random-and-Sequence-Workload-for-WebScale-Architecture-for-NFS-GlusterFS-and-MooseFS-Performance-EnhancementInternational-Journal-of-Advanced-Computer-Science-and-Applications.pdf

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