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

• المؤلفون الرئيسيون: Riasetiawan, Mardhani, Amien, Nashihun
• التنسيق: Other NonPeerReviewed
• اللغة: English
• منشور في: International Journal of Advanced Computer Science and Applications 2022
• الموضوعات: Distributed Computing
• الوصول للمادة أونلاين: 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; https://repository.ugm.ac.id/284265/; https://www.semanticscholar.org/paper/Random-and-Sequence-Workload-for-Web-Scale-for-NFS%2C-Riasetiawan-Amien/bfd86d328cc9767218c2a658c4e2c303f15426fc
• المؤسسة: Universitas Gadjah Mada

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...