The SERENITY Runtime Monitoring Framework

Spanoudakis, George; Kloukinas, Christos; Mahbub, Khaled

doi:10.1007/978-0-387-88775-3_13

Cited by 28 publications

(22 citation statements)

References 19 publications

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“…In this case the RCG accepts events from sensors detecting both request and responses to a service operation. RCGs also provide access to generic runtime monitoring frameworks such as EVEREST [12].…”

Section: Architecturementioning

confidence: 99%

“…In addition, the generated AST compiler can be reused by Monitorability Agents (which accept the monitoring system configuration as a result of matching monitoring components) who can translate the SLA terms in to their own language specification. As an example, we have already performed such a translation for the EVEREST monitoring language [12] that is based on Event Calculus, which is used to reason about the expressions in the SLA@SOI project SLA examples.…”

Section: Sla Term Decompositionmentioning

confidence: 99%

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Advanced service monitoring configurations with SLA decomposition and selection

Foster

Spanoudakis

2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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Citation: Foster, H. and Spanoudakis, G. (2011). Advanced service monitoring configurations with SLA decomposition and selection. Proceedings of the ACM Symposium on Applied Computing, pp. 1582Computing, pp. -1589Computing, pp. . doi: 10.1145 This is the unspecified version of the paper.This version of the publication may differ from the final published version. Permanent ABSTRACTService Level Agreements (SLAs) for Software Services aim to clearly identify the service level commitments established between service requesters and providers. The commitments that are agreed however can be expressed in complex notations through a combination of expressions that need to evaluated and monitored efficiently. The dynamic allocation of the responsibility for monitoring SLAs (and often different parts within them) to different monitoring components is necessary as both SLAs and the components available for monitoring them may change dynamically during the operation of a service based system. In this paper we discuss an approach to supporting this dynamic configuration, and in particular, how SLAs expressed in higher-level notations can be efficiently decomposed and appropriate monitoring components dynamically allocated for each part of the agreements. The approach is illustrated with mechanical support in the form of a configuration service which can be incorporated into SLA-based service monitoring infrastructures.

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Section: Architecturementioning

confidence: 99%

Section: Sla Term Decompositionmentioning

confidence: 99%

Advanced service monitoring configurations with SLA decomposition and selection

Foster

Spanoudakis

2011

Proceedings of the 2011 ACM Symposium on Applied Computing

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“…Spanoudakis et al [25] proposed a tool called SERENITY which provides dynamic configuration and assembly of both security and dependability at runtime. Here, patterns are incorporated to realize the properties of security through location-based access control and dependability through monitoring and diagnostics.…”

Section: Related Workmentioning

confidence: 99%

Towards Pattern-Based Reliability Certification of Services

Buckley

Fernández

Anisetti

et al. 2011

On the Move to Meaningful Internet Systems: OTM 2011

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Abstract. On Service-Oriented Architectures (SOAs), the mechanism for run-time discovery and selection of services may conflict with the need to make sure that business process instances satisfy their reliability requirements. In this paper we describe a certification scheme based on machine-readable reliability certificates that will enable run-time negotiation. Service reliability is afforded by means of reliability patterns. Our certificates describe the reliability mechanism implemented by a service and the reliability pattern used to implement such a mechanism. Digital signature is used to associate the reliability claim contained in each certificate with the party (service supplier or accredited third-party) taking responsibility for it.

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“…In this case the RCG accepts events from sensors detecting both request and responses to a service operation and computes an average over a period of time. RCGs also provide access to generic runtime monitoring frameworks such as EVEREST [14].…”

Section: Service Monitoringmentioning

confidence: 99%