Adaptive SLA monitoring of service choreographies enacted on the Cloud

Bertolino, Antonia; Calabrò, Antonello; Angelis, Guglielmo De

doi:10.1109/mesoca.2013.6632741

Cited by 7 publications

(3 citation statements)

References 25 publications

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“…In turn, CEP technologies have extensively been used to check at runtime the compliance of systems and processes with various type of regulations [26,27,28,29]. We claim that the constraints established by environmental regulations can also be monitored with CEP technologies.…”

Section: Monitoring Environmental Regulations With Cepmentioning

confidence: 99%

Compliance with Environmental Regulations through Complex Geo-Event Processing

Herrera¹,

González²,

Calegari³

et al. 2017

CLEIej

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In a context of e-government, there are usually regulatory compliance requirements that support systems must monitor, control and enforce. These requirements may come from environmental laws and regulations that aim to protect the natural environment and mitigate the effects of pollution on human health and ecosystems. Monitoring compliance with these requirements involves processing a large volume of data from different sources, which is a major challenge. This volume is also increased with data coming from autonomous sensors (e.g. reporting carbon emission in protected areas) and from citizens providing information (e.g. illegal dumping) in a voluntary way. Complex Event Processing (CEP) technologies allow processing large amount of event data and detecting patterns from them. However, they do not provide native support for the geographic dimension of events which is essential for monitoring requirements which apply to specific geographic areas. This paper proposes a geospatial extension for CEP that allows monitoring environmental requirements considering the geographic location of the processed data. We extend an existing platform-independent, model-driven approach for CEP adding the geographic location to events and specifying patterns using geographic operators. The use and technical feasibility of the proposal is shown through the development of a case study and the implementation of a prototype.

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Section: Monitoring Environmental Regulations With Cepmentioning

confidence: 99%

Compliance with Environmental Regulations through Complex Geo-Event Processing

Herrera¹,

González²,

Calegari³

et al. 2017

CLEIej

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“…It raises alarms or directly enacts countermeasures in case of violation or misbehavior. Runtime Monitoring interacts with the Ontology Manager, receiving rules related to the functional and non-functional properties to be analyzed translated according to the Runtime Monitoring language [32]. It receives, at the same time, also the predictions of expected behavior to check against the real execution of the system from the Predictive Simulation.…”

Section: A Smart Monitoring Frameworkmentioning

confidence: 99%

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

Calabrò,

Marchetti

2024

IEEE Access

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Context: Intelligent monitoring systems can effectively predict or detect anomalies and issues in smart working systems and ecosystems and implement the proper countermeasures. However, for their effective and efficient use, attributes like responsiveness, performance, and quality should be properly tested and assessed before integrating the monitoring system into an ecosystem. Objective: The work aims to present a framework, called MOnitoring TEsting Framework (MOTEF), focused on the testing and evaluation of a generic monitoring system performance. In particular, the framework allows testing the monitoring system in isolation or when used in a smart environment to provide functional or non-functional property predictions. Method: By simulating the runtime execution of a smart environment, MOTEF lets testing and assessment of a generic monitoring system establish its working boundaries. The results collected can be used to design a smart environment architecture to better fulfill its global performance constraints. Results and Conclusion:This work presents the architecture of MOTEF and its preliminary implementation. It also validated and showcased the use of MOTEF in evaluating the performance of an existing monitoring system in isolation and when it is used in a smart environment. The results have been evaluated considering two research questions about the monitoring system responsiveness and effectiveness in proving required functional or non-functional property predictions.

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“…Furthermore, previous work didn't take into consideration of the privacy safety. There are other works to monitor SLA (Service Layer Agreement) related metrics and KPIs [2,13], which are not our research point.…”

Section: Relate Workmentioning

confidence: 99%

A Real-time Performance Monitoring Framework Based on ACC Model in Collaboration Business Process Environment

Zhang¹,

Li²,

Huang³

2017

Proceedings of the 7th International Conference on Computer Engineering and Networks — PoS(CENet2017)

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In order to improve the efficiency of building a real-time performance monitoring system in collaboration business process environment, a framework integrated with the collaboration business process system based on artifact-centric collaboration (ACC) model is prompted. With the view information of ACC model, a rule-based method is proposed to collect real-time data and the monitoring system is abstracted as a monitoring model. After the monitoring designer defines a monitoring model according to monitoring requirements, the monitoring model is automatically transformed to the technical specification of the monitoring system. With this framework, the monitor designer can focus on designing the monitoring model other than details of the technical specification. There is no need to negotiate with collaborative partner from design to deployment without risk of privacy leakage. This approach both increases the agility of the monitoring system and reduces the difficulty in building a monitoring system.

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Adaptive SLA monitoring of service choreographies enacted on the Cloud

Cited by 7 publications

References 25 publications

Compliance with Environmental Regulations through Complex Geo-Event Processing

Compliance with Environmental Regulations through Complex Geo-Event Processing

MOTEF: A Testing Framework for Runtime Monitoring Infrastructures

A Real-time Performance Monitoring Framework Based on ACC Model in Collaboration Business Process Environment

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