On Challenges of Cloud Monitoring
Not on the map. Why?
Abstract (arXiv)
Cloud services are becoming increasingly popular: 60% of information technology spending in 2016 was Cloud-based, and the size of the public Cloud service market will reach 236B by 2020. To ensure reliable operation of the Cloud services, one must monitor their health. While a number of research challenges in the area of Cloud monitoring have been solved, problems are remaining. This prompted us to highlight three areas, which cause problems to practitioners and require further research. These three areas are as follows: A) defining health states of Cloud systems, B) creating unified monitoring environments, and C) establishing high availability strategies. In this paper we provide details of these areas and suggest a number of potential solutions to the challenges. We also show that Cloud monitoring presents exciting opportunities for novel research and practice.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Jun 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2024: 1; 2025: 0; 2026: 3.
4 papers.
- 2024Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Datasetcited by 6
- 2026Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasetscited by 1
- 2026On Sequence-to-Sequence Models for Automated Log Parsingcited by 0
- 2026ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoringcited by 0
- 2026ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring20 Jul 2026
- 2026Benchmarking Anomaly Detection Across Heterogeneous Cloud Telemetry Datasets7 Feb 2026
- 2026On Sequence-to-Sequence Models for Automated Log Parsing7 Feb 2026
- 2024Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and Dataset13 Nov 2024