On Challenges of Cloud Monitoring
William Pourmajidi, John Steinbacher, Tony Erwin, Andriy Miranskyy

TL;DR
This paper discusses key challenges in Cloud monitoring, including defining health states, creating unified environments, and ensuring high availability, highlighting areas for future research and practical solutions.
Contribution
It identifies unresolved research challenges in Cloud monitoring and proposes potential solutions for defining health states, unification, and high availability strategies.
Findings
Identified three main problem areas in Cloud monitoring.
Suggested potential solutions for each challenge.
Highlighted opportunities for future research and practice.
Abstract
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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsSoftware System Performance and Reliability · Data Stream Mining Techniques · Anomaly Detection Techniques and Applications
