Adaptive monitoring of end-user OSGi-based home boxes

Maurel, Yoann; Bottaro, André; Kopetz, Radu; Attouchi, Koutheir

doi:10.1145/2304736.2304763

Cited by 7 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The overhead that these monitoring systems introduce into applications is high, which makes it unlikely for them to be used in production systems. Maurel et al [57] propose an adaptive monitoring framework for the OSGi platform. Similar to our approach, they propose a global monitoring system that changes to a localized monitoring system when a problem is detected.…”

Section: Related Workmentioning

confidence: 99%

ScapeGoat: Spotting abnormal resource usage in component-based reconfigurable software systems

Gonzalez-Herrera

Bourcier

Daubert

et al. 2016

Journal of Systems and Software

View full text Add to dashboard Cite

Modern component frameworks support continuous deployment and simultaneous execution of multiple software components on top of the same virtual machine. However, isolation between the various components is limited. A faulty version of any one of the software components can compromise the whole system by consuming all available resources. In this paper, we address the problem of efficiently identifying faulty software components running simultaneously in a single virtual machine. Current solutions that perform permanent and extensive monitoring to detect anomalies induce high overhead on the system, and can, by themselves, make the system unstable. In this paper we present an optimistic adaptive monitoring system to determine the faulty components of an application. Suspected components are finely analyzed by the monitoring system, but only when required. Unsuspected components are left untouched and execute normally. Thus, we perform localized just-in-time monitoring that decreases the accumulated overhead of the monitoring system. We evaluate our approach on two case studies against a state-of-the-art monitoring system and show that our technique correctly detects faulty components, while reducing overhead by an average of 93%.

show abstract

Section: Related Workmentioning

confidence: 99%

ScapeGoat: Spotting abnormal resource usage in component-based reconfigurable software systems

Gonzalez-Herrera

Bourcier

Daubert

et al. 2016

Journal of Systems and Software

View full text Add to dashboard Cite

show abstract

“…The overhead that these monitoring systems introduce into applications is high, which makes it unlikely for them to be used in production systems. Maurel et al [27] propose an adaptive monitoring framework for the OSGi platform. Similarly to our work, they propose a global monitoring system that changes to a localized monitoring system when a problem is detected.…”

Section: Related Workmentioning

confidence: 99%

Scapegoat: An Adaptive Monitoring Framework for Component-Based Systems

Gonzalez-Herrera

Bourcier

Daubert

et al. 2014

2014 IEEE/IFIP Conference on Software Architecture

View full text Add to dashboard Cite

Abstract-Modern component frameworks support continuous deployment and simultaneous execution of multiple software components on top of the same virtual machine. However, isolation between the various components is limited. A faulty version of any one of the software components can compromise the whole system by consuming all available resources. In this paper, we address the problem of efficiently identifying faulty software components running simultaneously in a single virtual machine. Current solutions that perform permanent and extensive monitoring to detect anomalies induce high overhead on the system, and can, by themselves, make the system unstable. In this paper we present an optimistic adaptive monitoring system to determine the faulty components of an application. Suspected components are finely instrumented for deeper analysis by the monitoring system, but only when required. Unsuspected components are left untouched and execute normally. Thus, we perform localized just-in-time monitoring that decreases the accumulated overhead of the monitoring system. We evaluate our approach against a state-of-the-art monitoring system and show that our technique correctly detects faulty components, while reducing overhead by an average of 80%.

show abstract

“…The method presented in [11], and refined in A-OSGi [3] and also in our previous work on adaptive monitoring [10] address CPU usage monitoring of components. These solutions show that observing resource consumption at the component granularity can be performed without modifying components.…”

Section: Related Workmentioning

confidence: 99%

“…Resource monitoring provides essentially two information: (1) counting, i.e., how much of the resource is consumed, and (2) accounting, i.e., which entity should be charged for using that quantity of the resource. Existing work performed in component-based and service-oriented platforms [11,3,10,8,4] enable resource accounting at component level in only two cases: (1) when a component calls a service method implemented by a component belonging to the operator platform, or (2) when the opposite happens. Still, there is a third case that occurs when a component from a given tenant calls a service method implemented by a component belonging to another tenant.…”

Section: Introductionmentioning

confidence: 99%

Memory monitoring in a multi-tenant OSGi execution environment

Attouchi

Thomas

Bottaro

et al. 2014

Proceedings of the 17th International ACM Sigsoft Symposium on Component-Based Software Engineering

Self Cite

View full text Add to dashboard Cite

Smart Home market players aim to deploy component-based and service-oriented applications from untrusted third party providers on a single OSGi execution environment. This creates the risk of resource abuse by buggy and malicious applications, which raises the need for resource monitoring mechanisms. Existing resource monitoring solutions either are too intrusive or fail to identify the relevant resource consumer in numerous multi-tenant situations. This paper proposes a system to monitor the memory consumed by each tenant, while allowing them to continue communicating directly to render services. We propose a solution based on a list of configurable resource accounting rules between tenants, which is far less intrusive than existing OSGi monitoring systems. We modified an experimental Java Virtual Machine in order to provide the memory monitoring features for the multi-tenant OSGi environment. Our evaluation of the memory monitoring mechanism on the DaCapo benchmarks shows an overhead below 46%.

show abstract

Adaptive monitoring of end-user OSGi-based home boxes

Cited by 7 publications

References 12 publications

ScapeGoat: Spotting abnormal resource usage in component-based reconfigurable software systems

ScapeGoat: Spotting abnormal resource usage in component-based reconfigurable software systems

Scapegoat: An Adaptive Monitoring Framework for Component-Based Systems

Memory monitoring in a multi-tenant OSGi execution environment

Contact Info

Product

Resources

About