EXIST: Enabling Extremely Efficient Intra-Service Tracing Observability in Datacenters
The complexity of online applications is rapidly increasing, bringing more sophisticated performance anomalies in today's cloud datacenter. To fully understand application behaviors, we should obtain both inter-service communication data via RPC-level tracing and intra-service execution traces via application-level tracing to precisely reason about event causality. However, the average time overhead of existing intra-service tracing schemes on the traced applications is generally about 5-10%, possibly reaching 18% in the worst case. To realize practical intra-service tracing in shared and stressed datacenters, one must achieve extreme tracing efficiency with an overhead at the per-mille level.
Authors
- Yuancheng Li (ORCID: https://orcid.org/0000-0002-7227-7362)
- Minyi Guo (ORCID: https://orcid.org/0000-0003-0034-2302)
- Xiaofeng Hou (ORCID: https://orcid.org/0000-0003-4372-7851)
- Guodong Yang (ORCID: https://orcid.org/0000-0003-1908-071X)
- Chao Li (ORCID: https://orcid.org/0000-0001-6218-4659)
- Quan Chen (ORCID: https://orcid.org/0000-0001-5832-0347)
- Liping Zhang (ORCID: https://orcid.org/0000-0003-2334-3471)
- Xiaopeng Yuan (ORCID: https://orcid.org/0000-0001-9042-1033)
- Guoyao Xu (ORCID: https://orcid.org/0000-0002-1136-2678)
- Yuemin Wu (ORCID: https://orcid.org/0000-0002-2571-6801)
- Xinkai Wang (ORCID: https://orcid.org/0000-0003-3764-8065)
- Du Liu
Institutions
- Shanghai Jiao Tong University (CN)
- Alibaba Group (China) (CN)
Publication Details
- Published
- 2025-03-27
- DOI
- https://doi.org/10.1145/3676641.3716283
- Citations
- 3
- Primary Topic
- Advanced Data Storage Technologies
- Type
- article
- Field-Weighted Citation Impact
- 4.46