FUSE: Fault Diagnosis and Suppression with eBPF for Microservices
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Description
Contemporary applications harness microservices architecture to attain scalability, loose coupling, and abstraction advantages. This approach involves breaking down applications into smaller, composable services, which are hosted in the cloud. Cloud deployment offers advantages like elastic load balancing, cost-efficiency, and ease of management. However, it raises two issues: trusting third-party providers and limited fault diagnosis due to generic logs. Deep runtime introspection of microservices on third-party clouds can enhance the resilience of cloud-native microservice-based applications.
This paper introduces FUSE, a novel framework based on eBPF technology that enables deep introspection of microservices’ runtime behavior. FUSE observes microservices at the kernel level, tracing system calls, function invocations, and disk accesses to create a unique hash-based digest for each microservice invocation. This digest is then used to verify runtime correctness: correct microservices consistently produce a known, deterministic digest, while faulty services generate random traces. FUSE provides real-time fault detection and suppression, preventing cascading failures. Additionally, it introduces a stability score for succinctly capturing runtime consistencies in microservices. In our evaluation with four representative microservices on AWS EC2 instances, FUSE successfully detected 53 runtime faults.
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| ID Code: | 243145 | ||||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||||
| Series Name: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | ||||
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| Measurements or Duration: | 15 pages | ||||
| DOI: | 10.1007/978-3-031-48421-6_17 | ||||
| ISBN: | 978-3-031-48420-9 | ||||
| Pure ID: | 145752145 | ||||
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Science Current > Schools > School of Computer Science |
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| Copyright Owner: | 2023 The Author(s) | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 22 Sep 2023 00:11 | ||||
| Last Modified: | 04 May 2024 04:09 |
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