Adaptive monitoring: A systematic mapping

Abstract

Context: Adaptive monitoring is a method used in a variety of domains for responding to changing conditions. It has been applied in different ways, from monitoring systems' customization to re-composition, in different application domains. However, to the best of our knowledge, there are no studies analyzing how adaptive monitoring differs or resembles among the existing approaches.Objective: To characterize the current state of the art on adaptive monitoring, specifically to: a) identify the main concepts in the adaptive monitoring topic; b) determine the demographic characteristics of the studies published in this topic; c) identify how adaptive monitoring is conducted and evaluated by the different approaches; d) identify patterns in the approaches supporting adaptive monitoring. Method:We have conducted a systematic mapping study of adaptive monitoring approaches following recommended practices. We have applied automatic search and snowballing sampling on different sources and used rigorous selection criteria to retrieve the final set of papers. Moreover, we have used an existing qualitative analysis method for extracting relevant data from studies. Finally, we have applied data mining techniques for identifying patterns in the solutions. Results:We have evaluated 110 studies organized in 81 approaches that support adaptive monitoring. By analyzing them, we have: (1) surveyed related terms and definitions of adaptive monitoring and proposed a generic one; (2) visualized studies' demographic data and arranged the studies into approaches; (3) characterized the main approaches' contributions; (4) determined how approaches conduct the adaptation process and evaluate their solutions. Conclusions:This cross-domain overview of the current state of the art on adaptive monitoring may be a solid and comprehensive baseline for researchers and practitioners in the field. Especially, it may help in identifying opportunities of research; for instance, the need of proposing generic and flexible software engineering solutions for supporting adaptive monitoring in a variety of systems.

Field Monitoring With Delayed Saving

“…Since monitoring requirements might change over time, it is useful to implement Adaptive monitoring techniques, that is, techniques with a monitoring logic that can adapt dynamically to runtime events. Recently, Zavala et al [37] worked on a systematic mapping of adaptive monitoring techniques to identify trends and approaches available in the literature. Bartocci et al [12] presented Adaptive Runtime Verification, a monitoring technique that controls the overhead by enabling and disabling runtime verification of events according to certain overhead target levels.…”

Adaptive Strategies for Patient Monitoring in Mobile Health Applications

“…A survey on previous work in Ambient Assisted Living (AAL) is available in [2], covering topics such as e-Health in smart homes [3] and behavioural change detection [4]. Most of the works in AAL propose a user-centric adaptation, as they aim at exploiting high-level contextual information such as a patient's usual activities in order to detect anomalies, or to trigger changes in the services offered to that patient.…”

A context-aware monitoring architecture for supporting system adaptation and reconfiguration

“…Context acquisition is implemented through monitoring tools that integrate software services and sensors as data gathering instruments [ 33 , 40 ]. However, monitoring tools are software applications themselves; therefore, they also need to be aware of their own context to deliver the best possible functionality with adequate quality [ 45 ].…”