Abstract
Cloud computing resulted in a continuously growing number of provided software services to be used by consumers. Brokers discover services that fit best to consumers’ requirements by matching Quality-of-Service (QoS) properties. In order to negotiate Service-Level Agreements (SLAs), a provider has to determine the provided QoS based on QoS analyses. However, the risk for the provider to violate the SLA is high as the service’s actual quality can deviate from the specified QoS due to uncertainties that occur during the provider’s quality analysis. In this paper, we discuss current software engineering paradigms like cloud computing and service-oriented computing with respect to the amount of uncertainty they induce into service matching and SLA negotiations. As a result, we explain, why cloud computing reduces such uncertainties.
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Acknowledgments
This work was supported by the German Research Foundation (DFG) within the Collaborative Research Center “On-The-Fly Computing” (CRC 901).
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Becker, M., Platenius, M.C., Becker, S. (2015). Cloud Computing Reduces Uncertainties in Quality-of-Service Matching!. In: Ortiz, G., Tran, C. (eds) Advances in Service-Oriented and Cloud Computing. ESOCC 2014. Communications in Computer and Information Science, vol 508. Springer, Cham. https://doi.org/10.1007/978-3-319-14886-1_15
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DOI: https://doi.org/10.1007/978-3-319-14886-1_15
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