Integrated Monitoring Approach for Seamless Service Provisioning in Federated Clouds

Kertész, Attila; Kecskeméti, Gábor; Marosi, Attila Csaba; Oriol, Marc; Franch, Xavier; Marco, Jordi

doi:10.1109/pdp.2012.25

Cited by 20 publications

(11 citation statements)

References 16 publications

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“…A variation of the MAPE control loop is introduced into the framework that acknowledges the multifaceted nature of SOSs. Kertész et al [27] integrate SALMon [36] in IMA4SSP -their monitoring approach to seamless service provisioning -so that it can collect dynamic reliability information of SOSs expressed in predefined quality metrics.…”

Section: Related Workmentioning

confidence: 99%

Localizing Runtime Anomalies in Service-Oriented Systems

Xie

Wang

et al. 2017

IEEE Trans. Serv. Comput.

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In a distributed, dynamic and volatile operating environment, runtime anomalies occurring in service-oriented systems (SOSs) must be located and fixed in a timely manner in order to guarantee successful delivery of outcomes in response to user requests. Monitoring all component services constantly and inspecting the entire SOS upon a runtime anomaly are impractical due to excessive resource and time consumption required, especially in large-scale scenarios. We present a spectrum-based approach that goes through a five-phase process to quickly localize runtime anomalies occurring in SOSs based on end-to-end system delays. Upon runtime anomalies, our approach calculates the similarity coefficient for each basic component (BC) of the SOS to evaluate their suspiciousness of being faulty. Our approach also calculates the delay coefficients to evaluate each BC's contribution to the severity of the end-to-end system delays. Finally, the BCs are ranked by their similarity coefficient scores and delay coefficient scores to determine the order of them being inspected. Extensive experiments are conducted to evaluate the effectiveness and efficiency of the proposed approach. The results indicate that our approach significantly outperforms random inspection and the popular Ochiai-based inspection in localizing single and multiple runtime anomalies effectively. Thus, our approach can help save time and effort for localizing runtime anomalies occuring in SOSs.

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Section: Related Workmentioning

confidence: 99%

Localizing Runtime Anomalies in Service-Oriented Systems

Xie

Wang

et al. 2017

IEEE Trans. Serv. Comput.

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“…Given any execution path EP i 2, the total cost needed to implement the local monitoring strategies for all the BCs on EP i must not exceed the budget allocated to EP i . Constraints family (33) ensures that the number of all the monitors to be allocated must not exceed the number of available monitors. Constraints families (34)-(36) express the upper and lower bounds for the number of monitors (denoted by a), monitoring frequency (denoted by b) and monitoring granularity (denoted by g) of every local monitoring strategy.…”

Section: Global Optimisationmentioning

confidence: 99%

“…A variation of the MAPE control loop is introduced into the framework that acknowledges the multi-faceted nature of SBSs. In [33], the authors integrate SALMon [46] in IMA4SSP, their monitoring approach to seamless service provisioning. SALMon is a monitoring system that can collect dynamic reliability information of SBSs expressed in pre-defined quality metrics.…”

Section: Related Workmentioning

confidence: 99%

Formulating Cost-Effective Monitoring Strategies for Service-Based Systems

Han

Yang

et al. 2014

IIEEE Trans. Software Eng.

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Abstract-When operating in volatile environments, service-based systems (SBSs) that are dynamically composed from component services must be monitored in order to guarantee timely and successful delivery of outcomes in response to user requests. However, monitoring consumes resources and very often impacts on the quality of the SBSs being monitored. Such resource and system costs need to be considered in formulating monitoring strategies for SBSs. The critical path of a composite SBS, i.e., the execution path in the service composition with the maximum execution time, is of particular importance in cost-effective monitoring as it determines the response time of the entire SBS. In volatile operating environments, the critical path of an SBS is probabilistic, as every execution path can be critical with a certain probability, i.e., its criticality. As such, it is important to estimate the criticalities of different execution paths when deciding which parts of the SBS to monitor. Furthermore, cost-effective monitoring also requires management of the trade-off between the benefit and cost of monitoring. In this paper, we propose CriMon, a novel approach to formulating and evaluating monitoring strategies for SBSs. CriMon first calculates the criticalities of the execution paths and the component services of an SBS and then, based on those criticalities, generates the optimal monitoring strategy considering both the benefit and cost of monitoring. CriMon has two monitoring strategy formulation methods, namely local optimisation and global optimisation. In-lab experimental results demonstrate that the response time of an SBS can be managed cost-effectively through CriMon-based monitoring. The effectiveness and efficiency of the two monitoring strategy formulation methods are also evaluated and compared.

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“…In [17] the authors proposed a monitoring approach that enables autonomous service provisioning in federated clouds. Among the others, the framework was mainly conceived to either support the deployment, or delegate the execution of the requested services as virtual machines on a specific IaaS.…”

Section: Is the Synthesis Process Affordable?mentioning

confidence: 99%

Adaptive SLA monitoring of service choreographies enacted on the Cloud

Bertolino

Calabrò

Angelis

2013

2013 IEEE 7th International Symposium on the Maintenance and Evolution of Service-Oriented and Cloud-Based Systems

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The deployment and the execution of applications on dynamic Cloud infrastructures introduces new requirements of adaptability with respect to monitoring. Specifically, the governance of service choreographies enacted over Cloudbased solutions relies on the observation and analysis of events happening at different abstraction layers. Adaptability requirements are even more evident when monitoring deals with Service Level Agreements (SLA) established among the choreography participants. In fact, as the Cloud paradigm offers on-demand solutions as a service, often monitoring rules cannot be completely defined off-line. Thus also the monitoring infrastructure must keep track of the continuous evolution of the underlying environment, and adapt itself accordingly. This paper proposes an adaptive multi-source monitoring architecture that can synthesize on-the-fly SLA monitoring rules following the evolution of the Cloud infrastructure. We demonstrate the idea on a case study and discuss limitations as well as planned further advancements.

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Integrated Monitoring Approach for Seamless Service Provisioning in Federated Clouds

Cited by 20 publications

References 16 publications

Localizing Runtime Anomalies in Service-Oriented Systems

Localizing Runtime Anomalies in Service-Oriented Systems

Formulating Cost-Effective Monitoring Strategies for Service-Based Systems

Adaptive SLA monitoring of service choreographies enacted on the Cloud

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