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Performance Analysis of Cloud-Backed File Systems with Various Object Sizes
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  • Journal title : Journal of KIISE
  • Volume 43, Issue 7,  2016, pp.744-750
  • Publisher : Korean Institute of Information Scientists and Engineers
  • DOI : 10.5626/JOK.2016.43.7.744
 Title & Authors
Performance Analysis of Cloud-Backed File Systems with Various Object Sizes
Kim, Jiwon; Lee, Kyungjun; Ryu, Sungtae; Han, wansoo;
 
 Abstract
Recent cloud infrastructures provide competitive performances and operation costs for many internet services through pay-per-use model. Particularly, object storages are highlighted, as they have unlimited file holding capacity and allow users to access the stored files anytime and anywhere. Several lines of research are based on cloud-backed file systems, which support traditional POSIX interface rather than RESTful APIs via HTTP. However, these existing file systems handle all files with uniform size backing objects. Consequently, the accesses to cloud object storages are likely to be inefficient. In our research, files are profiled according to characteristics, and appropriate backing unit sizes are determined. We experimentally verify that different backing unit sizes for the object storage improve the performance of cloud-backed file systems. In our comparative experiments with S3QL, our prototype cloud-backed file system shows faster performance by 18.6% on average.
 Keywords
cloud-backed file system;cloud storage;object storage;file attribute;
 Language
Korean
 Cited by
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