A Survey On Causal Consistency Implementation In Geo-Replicated Cases

  • Muhamad Syukron Institut Teknologi Sepuluh Nopember, Jawa Timur, Indonesia
  • Chilyatun Nisa Institut Teknologi Sepuluh Nopember, Jawa Timur, Indonesia
  • Abdul Aziz Institut Teknologi Sepuluh Nopember, Jawa Timur, Indonesia
  • Royyana Muslim Ijtihadie Institut Teknologi Sepuluh Nopember, Jawa Timur, Indonesia
DOI: https://doi.org/10.33005/ijconsist.v5i2.145
Keywords: Causal Consistency, Cloud Storage, Distributed Systems, Geo-Replication, Latency, Throughput

Abstract

Distributed storage systems are a fundamental component of large-scale internet services. To meet the in-creasing needs of users regarding availability and latency, the design of data storage systems has developed into data replication techniques, one of which is geo-replication. Causal consistency is an attractive method for storing geo-replicated data because it is at the crucial point between ease of programming and resulting performance. This method also enables high availability and low latency. However, when implemented into cloud storage, there are limitations regarding throughput and costs. We surveyed several models using methods related to causal consistency in geo-replication cases designed by previous researchers. The mod-els used were derived from papers on causal consistency in geo-replication cases published within the last five years. In this study, we compared the performance of previously designed models based on their performance results. The results of this study are grouping models based on throughput and latency performance obtained.

Published
2024-03-01
How to Cite
Syukron, M., Nisa, C., Aziz, A., & Ijtihadie, R. M. (2024). A Survey On Causal Consistency Implementation In Geo-Replicated Cases. IJCONSIST JOURNALS, 5(2), 78-85. https://doi.org/10.33005/ijconsist.v5i2.145
Issue
Vol 5 No 2 (2024): March
Section
Articles

Copyright (c) 2024 Muhamad Syukron, Chilyatun Nisa, Abdul Aziz, Royyana Muslim Ijtihadie

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