Fast Recovery of Correlated Failures in Distributed Stream Processing Engines
| Autor: | Yongluan Zhou, Li Su |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Distributed computing 020206 networking & telecommunications Fault tolerance 02 engineering and technology Cluster (spacecraft) Scheduling (computing) Stream processing Operator (computer programming) 0202 electrical engineering electronic engineering information engineering Overhead (computing) 020201 artificial intelligence & image processing Latency (engineering) Set (psychology) |
| Zdroj: | Su, L & Zhou, Y 2021, Fast Recovery of Correlated Failures in Distributed Stream Processing Engines . in Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems, DEBS 2021 . Association for Computing Machinery, pp. 66-77, 15th ACM International Conference on Distributed and Event-based Systems, Virtual, 28/06/2021 . https://doi.org/10.1145/3465480.3466923 DEBS |
| DOI: | 10.1145/3465480.3466923 |
| Popis: | In a large-scale cluster, correlated failures usually involve a number of nodes failing simultaneously. Although correlated failures occur infrequently, they have significant effect on systems' availability, especially for streaming applications that require real-time analysis, as repairing the failed nodes or acquiring additional ones would take a significant amount of time. Most state-of-the-art distributed stream processing systems (DSPSs) focus on recovering individual failures and do not consider the optimization for recovering correlated failure. In this work, we propose an incremental and query-centric recovery paradigm where the recovery of failed operator partitions would be carefully scheduled based on the current availability of resources, such that the outputs of queries can be recovered as early as possible. By analyzing the existing recovery techniques, we identify the challenges and propose a fault-tolerance framework that can support incremental recovery with minimum overhead during the system's normal execution. We also formulate the new problem of recovery scheduling under correlated failures and design algorithms to optimize the recovery latency with a performance guarantee. A comprehensive set of experiments are conducted to study the validity of our proposal. |
| Databáze: | OpenAIRE |
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