Fault Tolerance in Edge Computing: Exploring Strategies to Ensure Fault Tolerance and Reliability in Edge Computing Environments
Keywords:
Edge Computing, Fault Tolerance, Reliability, Distributed Systems, Resilience, Redundancy, Failure Detection, Recovery Mechanisms, ReplicationAbstract
Edge computing has emerged as a promising paradigm for processing data closer to the source, reducing latency and bandwidth usage. However, the distributed nature of edge computing introduces challenges related to fault tolerance and reliability. This paper explores various strategies to ensure fault tolerance in edge computing environments. We discuss the importance of fault tolerance in edge computing, the challenges it poses, and the strategies to address these challenges. We also present a comparative analysis of existing fault tolerance mechanisms and their effectiveness in edge computing. The insights provided in this paper can help researchers and practitioners enhance the reliability of edge computing systems.
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Raparthi, M., Dodda, S. B., & Maruthi, S. (2020). Examining the use of Artificial Intelligence to Enhance Security Measures in Computer Hardware, including the Detection of Hardware-based Vulnerabilities and Attacks. European Economic Letters (EEL), 10(1).
Pargaonkar, S. (2020). A Review of Software Quality Models: A Comprehensive Analysis. Journal of Science & Technology, 1(1), 40-53.
Vyas, B. (2021). Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(1), 59-62.
Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
Rajendran, R. M. (2021). Scalability and Distributed Computing in NET for Large-Scale AI Workloads. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 136-141.
Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.
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