"Intent-Driven Multi-Engine Observability Dataflows for Heterogeneous ..."

Aishwariya Chakraborty et al. (2024)

> Home

Details and statistics

DOI: 10.1109/CLOUD62652.2024.00014

access: closed

type: Conference or Workshop Paper

metadata version: 2024-09-10

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/IEEEcloud/ChakrabortyETVGJ24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/IEEEcloud/ChakrabortyETVGJ24
Aishwariya Chakraborty, Anand Eswaran, Pankaj Thorat, Mudit Verma, Pranjal Gupta, Praveen Jayachandran:
Intent-Driven Multi-Engine Observability Dataflows for Heterogeneous Geo-Distributed Clouds. CLOUD 2024: 30-41

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.