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Real-time data services can benefit data-intensive real-time applications, e.g., e-commerce, via timely transaction processing using fresh data, e.g., the current stock prices. To enhance the real-time data service quality, we present several novel techniques for (1) database backlog estimation, (2) fine-grained closedloop admission control based on the backlog model, and (3) hint-based incoming load smoothing. Our backlog estimation and feedback control aim to support the desired service delaydoi:10.1109/ecrts.2008.11 dblp:conf/ecrts/KangOZ08 fatcat:vdcpocdxf5ddpgz5ij2bs3rbta