2012 4th International Workshop on Principles of Engineering Service-Oriented Systems (PESOS) 2012
DOI: 10.1109/pesos.2012.6225936
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Exploring the impact of inaccuracy and imprecision of QoS assumptions on proactive constraint-based QoS prediction for service orchestrations

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“…For other input data sizes (in ranges 1..8, 11..16, and 21..40), the predictor is able to predict SLA conformance at the very start. In both cases, the percentage of correctly predicted cases is typically very high, between 94% and 99% [5].…”
Section: Supporting Sla Negotiation For Classes Of Input Datamentioning
confidence: 97%
“…For other input data sizes (in ranges 1..8, 11..16, and 21..40), the predictor is able to predict SLA conformance at the very start. In both cases, the percentage of correctly predicted cases is typically very high, between 94% and 99% [5].…”
Section: Supporting Sla Negotiation For Classes Of Input Datamentioning
confidence: 97%
“…For other input data sizes (in ranges 1..8, 11..16, and 21..40), the predictor is able to predict SLA conformance at the very start. In both cases, the percentage of correctly predicted cases is typically very high, between 94% and 99% [DCH12].…”
Section: Predicting Sla Violations At Run Timementioning
confidence: 97%