Saadoon, Muntadher and Ab Hamid, Siti Hafizah and Sofian, Hazrina and Altarturi, Hamza H. M. and Azizul Hasan, Zati Hakim and Mohd Daud, Nur Nasuha (2022) Fault tolerance in big data storage and processing systems: A review on challenges and solutions. Ain Shams Engineering Journal, 13 (2). ISSN 2090-4479, DOI https://doi.org/10.1016/j.asej.2021.06.024.
Full text not available from this repository.Abstract
Big data systems are sufficiently stable to store and process a massive volume of rapidly changing data. However, big data systems are composed of large-scale hardware resources that make their subspecies easily fail. Fault tolerance is the main property of such systems because it maintains availability, reliability, and constant performance during faults. Achieving an efficient fault tolerance solution in a big data system is challenging because fault tolerance must meet some constraints related to the system performance and resource consumption. This study aims to provide a consistent understanding of fault tolerance in big data systems and highlights common challenges that hinder the improvement in fault tolerance efficiency. The fault tolerance solutions applied by previous studies intended to address the identified challenges are reviewed. The paper also presents a perceptive discussion of the findings derived from previous studies and proposes a list of future directions to address the fault tolerance challenges. (C) 2021 THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Ain Shams University.
| Item Type: | Article |
|---|---|
| Funders: | Malaysia Ministry of Education [Grant No:GPF097C-2020] |
| Uncontrolled Keywords: | Fault tolerance; Fault detection; Fault recovery; Big data storage; Big data processing |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Computer Science & Information Technology > Department of Software Engineering |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 20 Oct 2023 02:03 |
| Last Modified: | 20 Oct 2023 02:03 |
| URI: | http://eprints.um.edu.my/id/eprint/41752 |
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