Name
Abstract | ||
|---|---|---|
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 closed-loop 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 delay bound without degrading the data freshness critical for real-time data services. Workload smoothing, under overload, help the database admit and process more transactions in a timely manner by probabilistically reducing the burstiness of incoming data service requests. In terms of the data service delay and throughput, our feedback-based admission control and probabilistic load smoothing considerably outperform the baselines, which represent the current state of the art, in the experiments performed in a stock trading database testbed. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/ECRTS.2008.11 | ECRTS |
Keywords | Field | DocType |
incoming data service request,real-time data service,fresh data,service delay,backlog estimation,data freshness,real-time data service quality,workload smoothing,real-time data services,data-intensive real-time application,data service delay,database management systems,feedback control,real time systems,e commerce,real time data,transaction processing,response time,degradation | Transaction processing,Real-time data,Admission control,Computer science,Real-time computing,Burstiness,Smoothing,Throughput,Data as a service,E-commerce | Conference |
Citations | PageRank | References |
6 | 0.44 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kyoung-Don Kang | 1 | 563 | 37.51 |
| Jisu Oh | 2 | 57 | 3.17 |
| Y. Zhou | 3 | 163 | 37.69 |