| Tartalom: |
http://hdl.handle.net/10890/55189 |
| Archívum: |
Műegyetem Digitális Archívum |
| Gyűjtemény: |
1. Tudományos közlemények, publikációk
Konferenciák gyűjteményei
BME MIT PhD Minisymposium
BME MIT PhD Minisymposium, 2024, 31th
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| Cím: |
Landmark Estimation for Qualitative Diagnosis Over Distributed Traces
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| Létrehozó: |
Péter, Bertalan Zoltán
Kocsis, Imre
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| Dátum: |
2024-05-02T07:57:12Z
2024-05-02T07:57:12Z
2024
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| Tartalmi leírás: |
The proliferation of cloud-based, distributed microservices architectures poses novel challenges in system-level diagnosis for performance as well as hard errors. Industry has responded with the widescale adoption and enablement of distributed, standardized transaction tracing. However, distributed tracing largely lacks proper diagnostic inference support. This paper proposes a qualitative error propagation model for distributed tracing-based monitoring and probing. An approach to estimate model landmarks – quantization thresholds – from observations in accordance with possible transaction structure is also proposed. The presented results enable the application of the results and approaches of classic Error Propagation Analysis to the cloud-based microservice domain.
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| Nyelv: |
angol
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| Típus: |
könyvfejezet
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| Formátum: |
application/pdf
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| Azonosító: |
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