Proceedings of the 6th International Workshop on Software and Performance 2007
DOI: 10.1145/1216993.1217008
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A model-driven approach to describe and predict the performance of composite services

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Cited by 82 publications
(43 citation statements)
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“…Other research on building performance models for web services takes a two-layered user/provider approach in (Marzolla and Mirandola, 2007): the user is a set of workflows and the provider a set of services deployed on a physical system; the queueing network formalism is used to derive performance bounds. In (D'Ambrogio and Bocciarelli, 2007), performance information about service capabilities and invocation mechanisms is given by the means of P-WSDL (Performance-enabled WSDL).…”
Section: Related Workmentioning
confidence: 99%
“…Other research on building performance models for web services takes a two-layered user/provider approach in (Marzolla and Mirandola, 2007): the user is a set of workflows and the provider a set of services deployed on a physical system; the queueing network formalism is used to derive performance bounds. In (D'Ambrogio and Bocciarelli, 2007), performance information about service capabilities and invocation mechanisms is given by the means of P-WSDL (Performance-enabled WSDL).…”
Section: Related Workmentioning
confidence: 99%
“…We classify related work on enforcement of Cloud based services into (i) monitoring of Cloud/Grid/Web services [12,15,1], (ii) SLA management including QoS management [8][9][10][11] and (iii) mapping techniques of monitored metrics to SLA parameters and attributes [20,13,14]. Since there is very little work on monitoring, SLA management, and metrics mapping in Cloud systems we look particularly into related areas such as Grid and SOA based systems.…”
Section: Related Workmentioning
confidence: 99%
“…Thereby, SLAs can be exploited to define certain QoS parameters that a service has to maintain during its interaction with a specific customer. [14] introduce a model-driven approach for integrating performance prediction into service composition processes carried out using BPEL. In their approach, they composed service SLA parameters from resource metrics using some mapping techniques.…”
Section: Related Workmentioning
confidence: 99%
“…Performance is measured as a mean response time under certain load level. The web service and connections between services can be modeled with queueing theory like M/M/1//inf system [8]. It means that requests arrive to the system independently with exponential interval distribution and response time is also exponentially distributed.…”
Section: Alternatives Evaluation -Performancementioning
confidence: 99%