Cloud systems are large scalable distributed systems that must be carefully monitored to timely detect problems and anomalies. While a number of cloud monitoring frameworks are available, only a few solutions address the problem of adaptively and dynamically selecting the indicators that must be collected, based on the actual needs of the operator. Unfortunately, these solutions are either limited to infrastructure-level indicators or technology-specific, for instance, they are designed to work with OpenStack but not with other cloud platforms. This paper presents the VARYS monitoring framework, a technology-agnostic Monitoring-as-a-Service solution that can address KPI monitoring at all levels of the Cloud stack, including the application-level. Operators use VARYS to indicate their monitoring goals declaratively, letting the framework to perform all the operations necessary to achieve a requested monitoring configuration automatically. Interestingly, the VARYS architecture is general and extendable, and can thus be used to support increasingly more platforms and probing technologies

Tundo, A., Mobilio, M., Orr, M., Riganelli, O., Guzmn, M., Mariani, L. (2019). VARYS: An agnostic model-driven monitoring-as-a-service framework for the cloud. In ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp.1085-1089). 1515 BROADWAY, NEW YORK, NY 10036-9998 USA : Association for Computing Machinery, Inc [10.1145/3338906.3341185].

VARYS: An agnostic model-driven monitoring-as-a-service framework for the cloud

Tundo A.;Mobilio M.;Riganelli O.;Mariani L.
2019

Abstract

Cloud systems are large scalable distributed systems that must be carefully monitored to timely detect problems and anomalies. While a number of cloud monitoring frameworks are available, only a few solutions address the problem of adaptively and dynamically selecting the indicators that must be collected, based on the actual needs of the operator. Unfortunately, these solutions are either limited to infrastructure-level indicators or technology-specific, for instance, they are designed to work with OpenStack but not with other cloud platforms. This paper presents the VARYS monitoring framework, a technology-agnostic Monitoring-as-a-Service solution that can address KPI monitoring at all levels of the Cloud stack, including the application-level. Operators use VARYS to indicate their monitoring goals declaratively, letting the framework to perform all the operations necessary to achieve a requested monitoring configuration automatically. Interestingly, the VARYS architecture is general and extendable, and can thus be used to support increasingly more platforms and probing technologies
No
paper
Cloud computing; Monitoring Framework; Monitoring-as-a-Service
English
27th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, ESEC/FSE 2019 AUG 26-30
978-1-4503-5572-8
http://dl.acm.org/citation.cfm?id=3338906
Tundo, A., Mobilio, M., Orr, M., Riganelli, O., Guzmn, M., Mariani, L. (2019). VARYS: An agnostic model-driven monitoring-as-a-service framework for the cloud. In ESEC/FSE 2019 - Proceedings of the 2019 27th ACM Joint Meeting European Software Engineering Conference and Symposium on the Foundations of Software Engineering (pp.1085-1089). 1515 BROADWAY, NEW YORK, NY 10036-9998 USA : Association for Computing Machinery, Inc [10.1145/3338906.3341185].
Tundo, A; Mobilio, M; Orr, M; Riganelli, O; Guzmn, M; Mariani, L
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/253636
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