The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Performance debugging for distributed systems of black boxes
Abstract
Many interesting large-scale systems are distributed systems of multiple communicating components. Such systems can be very hard to debug, especially when they exhibit poor performance. The problem becomes much harder when systems are composed of "black-box" components: software from many different (perhaps competing) vendors, usually without source code available. Typical solutions-provider employees are not always skilled or experienced enough to debug these systems efficiently. Our goal is to design tools that enable modestly-skilled programmers (and experts, too) to isolate performance bottlenecks in distributed systems composed of black-box nodes.We approach this problem by obtaining message-level traces of system activity, as passively as possible and without any knowledge of node internals or message semantics. We have developed two very different algorithms for inferring the dominant causal paths through a distributed system from these traces. One uses timing information from RPC messages to infer inter-call causality; the other uses signal-processing techniques. Our algorithms can ascribe delay to specific nodes on specific causal paths. Unlike previous approaches to similar problems, our approach requires no modifications to applications, middleware, or messages.
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Cites
Gprof: A call graph execution profiler
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Critical path analysis for the execution of parallel and distributed programs
Yang, C., & Miller, B. P. (2003) · Proceedings of the ... International Conference on Distributed Computing Systems/Proceedings of the International Conference on Distributed Computing Systems · doi:10.1109/dcs.1988.12538 · Cited by 165
A non-instrusive, wavelet-based approach to detecting network performance problems
Polly Huang, B., Feldmann, A., & Willinger, W. (2001) · ACM SIGCOMM Internet Measurement Workshop (IMW) · doi:10.1145/505202.505229 · Cited by 124
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Jin, G., Song, L., Shi, X., Scherpelz, J., & Lu, S. (2012) · Proceedings of the 33rd ACM SIGPLAN Conference on Programming Language Design and Implementation · doi:10.1145/2254064.2254075 · Cited by 304
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Carat: collaborative energy diagnosis for mobile devices
Oliner, A. J., Iyer, A. P., Stoica, I., Lagerspetz, E., & Tarkoma, S. (2013) · Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems · doi:10.1145/2517351.2517354 · Cited by 148
(2017) · doi:10.1145/3132747.3132749 · Cited by 144
A survey of AIOps methods for failure management
Notaro, P., Cardoso, J., & Gerndt, M. (2021) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3483424 · Cited by 142
Metadata
- Authors
- Aguilera, M. K., Mogul, J. C., Wiener, J. L., Reynolds, P., & Muthitacharoen, A.
- Venue
- Proceedings of the nineteenth ACM symposium on Operating systems principles
- Publisher
- ACM
- Published
- 2003-10-19
- Pages
- 74-89
- OpenAlex
- W4238860748
- Cited by
- 334
- References
- 5
- FWCI
- 8.22
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Aguilera, M. K., Mogul, J. C., Wiener, J. L., Reynolds, P., & Muthitacharoen, A. (2003). Performance debugging for distributed systems of black boxes. Proceedings of the nineteenth ACM symposium on Operating systems principles. https://doi.org/10.1145/945445.945454
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