JUCS - Journal of Universal Computer Science 31(1): 72-92, doi: 10.3897/jucs.120840
Fault Tolerance Model for Hadoop Distributed System
Soraya Setti Ahmed‡, Yahya Slimani§, Riadh Frefita|‡ Mustapha Stambouli University, Mascara, Algeria§ ISAMM, Manouba University, Manouba, Tunisia| Esprit School, Pôle Technologique,, El Ghazala, Tunisia
Corresponding author: Soraya Setti Ahmed ( soraya.settiahmed@gmail.com ) © Soraya Setti Ahmed, Yahya Slimani, Riadh Frefita. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY-ND 4.0). This license allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. Citation:
Setti Ahmed S, Slimani Y, Frefita R (2025) Fault Tolerance Model for Hadoop Distributed System. JUCS - Journal of Universal Computer Science 31(1): 72-92. https://doi.org/10.3897/jucs.120840 |  |
Abstract
Fault tolerance approaches in distributed systems are essentially based on replication and checkpointing. Each of these approaches has its advantages and limitations. This paper has two objectives: first, it proposes a fault tolerance approach based on the nodes status of a distributed system. For this purpose, it defines 3 nodes status: safety, faulty and potentially faulty. With respect of classical node status (safety, faulty), it introduces a new status that we call potentially faulty. This last node allows to enhance the availability of a distributed system. Second, it discusses the efficiency of the proposed model on two types of architectures: virtual multi-node cluster and a physical multi-node cluster with WIFI connection. Experiments have showed that proposed approach increases the system performance throughput and its fault tolerance level.
Keywords
Distributed Systems, Hadoop, Fault Tolerance, Networks, Node Failures